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$16 USD / jam
Bendera BELARUS
minsk, belarus
$16 USD / jam
Sekarang jam 2:44 PTG di sini
Menyertai Oktober 11, 2020
1 Cadangan

Andrei D.

@Trimple

verified-v2.svg
 5.0 (3 ulasan)
2.3
2.3
100%
100%
$16 USD / jam
Bendera BELARUS
minsk, belarus
$16 USD / jam
100%
Pekerjaan Disiapkan
81%
Mengikut Bajet
81%
Tepat Pada Masa
25%
Kadar Upah Semula

Robotics, control and embedded systems engineer

My main skills are: - ROS2 programming. I have experience with nav2, ros2_control, writing drivers for different sensors and making everything work in both simulation and real world; - embedded software development. I love STM32. Furthermore, I have a lot of experience with both bare metal (CMSIS) and HAL C (CubeMX) and a moderate experience with C++ for embedded; - IOT development. I've done a lot of interesting stuff with ESP32 and Particle Boron boards. I know how to design simple frontend and backend for IOT projects. - control systems design. I designed a bunch of controllers for motors and mobile robots: differential drive and balancing (see portfolio). I use mostly Matlab for design, and my "in-house" tools for debugging and tuning; I also have a decent experience in: - CAD design for 3D printing, laser-cutting, sheet metal, and 3D milling using Fusion 360; - electronics design and modeling for digital control, power conversion, and analog signal processing circuits using Fusion 360 electronics - previously Autodesk Eagle; - rust programming. I really enjoy using rust, but I can't say, that I'm a have a lot of experience with it. A couple of my projects are shown in my profile. To know more about me and what I can do - write me a message. I'm are open to all types of new interesting, and challenging tasks in related fields. I'm looking mostly for long-run tasks (starting from a couple of weeks).
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Portfolio

7581991
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
10052752
This is a small web-server + web page project for ESP32. It is designed to control a differential drive mobile robots. You can find the code of the project here: https://github.com/701lab/ESP32-robot-car-controller You can see a demo of the project here: https://photos.app.goo.gl/gQUQkC9ZNbU3YpYm9
ESP32 robot-car controller
7582774
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
7610146
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
7610480
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
7805738
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
7581991
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
This is a bidirectional balancing robot that has 4 wheels located on two axes. The robot can balance on either axes and ride like a 4 wheeled vehicle. Also, the robot can climb up the wall to change state from 4 wheeled to balancing. We developed most parts of the robot: the control board (using STM32G4 MCU, TI DRV 8701 DC motor driver, and ICM20600 IMU), li-ion battery module (enclosure and wiring. BMS has been bought), design (suitable for laser cutting and plastic milling or 3D-printing), control algorithms (robot uses a hybrid state machine and a bunch of control loops in every state) and STM32 software (it is mostly written in bare-metal C using CMSIS). You can see the 3D model here: https://a360.co/30Yiw29. You can watch a demo of the here: https://photos.app.goo.gl/XdMbTJX3wWyANbZG7
Bidirectional balancing robot (work in progress)
10052752
This is a small web-server + web page project for ESP32. It is designed to control a differential drive mobile robots. You can find the code of the project here: https://github.com/701lab/ESP32-robot-car-controller You can see a demo of the project here: https://photos.app.goo.gl/gQUQkC9ZNbU3YpYm9
ESP32 robot-car controller
7582774
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
This is a 4 layer PCB containing STM32G4 MCU, Buck converter, ICM20600 MCU, DRB 8701 motor driver, and INA240 current sensors. This board is suitable for controlling any double motors mobile robots with DC motors up to 5A 24V: differential drive robots, balancing robots, and etc. Board can be powered from up to 6s li-ion battery. Board can control 2 DC motor by torque, speed, and position (it can measure data from incremental encoder and current from this winding). The code for this board is written mostly in bare C using CMSIS. You can play around with the 3D model here: https://a360.co/2Xb8IAe
PCB for controlling double motors mobile robots
7610146
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
This is a learning stand for STM32G4 microcontrollers. It has a modular structure: new extension modules can be added on-demand while the frame stays the same. The default version of the stand consists of the sheet metal frame with press-fit fasteners, a control module with the STM32G4 control board, and a basic extension module with a keyboard and 4 digit 7 segment display. The Control board has 4 layers. All need GPIO are routed to the JST PH connectors to simplify connections to the external modules. Board has 4 analog input connections, 32 GPIO connections (separated into 4 connectors), 4 power outputs with a capability to output 1A 24V, 2A 24V. Dc motor control scheme, and basic interface connections: SPI, UART, and I2C. All parts of these stands were designed by our team. You can play around with the 3D model here: https://a360.co/2Iuiwkd
STM32 learning stand for university
7610480
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
This is a slave BMS module for up to 6 serial lithium batteries. The board implements monitoring and balancing. It relies on the external master for data interpretation and current control. Board is based on the state of the art BQ79606A-Q1 IC from TI (2019). Up to 64 modules can be stacked in series resulting in around 1.4 kV nominal voltage. We designed and fully tested this BMS with a 6s li-ion battery (22.2V nominal). For a master device, we used a custom STM32G4 development board. If needed we can test a bigger voltage assembly with our BMS or design a different board with respect to your specification._
Stackable BMS for lithium batteries
7805738
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype
This is a simple mobile robot prototype, that can carry about 20 kg of payload with a speed of about 0.5 m/s. This doesn't have external sensors for navigation and was built mostly for odometry, mechanics, and remote control testing. The system is working from the 3S1P li-ion battery with analog BMS. The robot is controlled by the robots board v1.2 (from our other portfolio item). It has 2 DC motors with encoders and uses 2 PI control loop for linear and rotational movement control respectively. The remote control is based on the nrf24l01+ (photo of the remote controllers included). The robot is built with an aluminum profile, sheet metal, and 3D-printed parts. You can play with the robot 3D-model via this link: https://a360.co/2rIqtdp.
Cargo mobile robot prototype

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5.0
$40.00 USD
Have to do a rust assignment
He knows what he is doing. Expert in his sector. Friendly and helped me a lot. Wrote clean codes and reports.
Microcontroller
Software Development
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Docker
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Bendera Mr A.
@creatorvlogs00
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4 tahun yang lalu
5.0
₹1,500.00 INR
Project for Andrey D.
Highly recommend. Thank you
Electronics
Electrical Engineering
3D Printing
Motor Control
+1 lagi
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Bendera Pratik N.
@pratiknandaniya
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4 tahun yang lalu
5.0
$56.00 AUD
Amps, Lithium Ion Battery size
Very patient and skillful.
Engineering
Electronics
Mechanical Engineering
Electrical Engineering
Chemical Engineering
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Bendera Adelusi A.
@adelusidemola8
•
4 tahun yang lalu

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Information technology and control engineer

Belaruski Dzjaržauny Universitet Informatyki i Radyjoelektroniki, Belarus 2015 - 2019
(4 tahun)

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