Control board for autonomous or radio-controlled robots. It has inputs to connect distance sensors and encoders for autonomous mode. It can be radio controlled by the ESP32 bluetooth or by connecting a Flysky RC controller receiver to the IBUS port. It also has 3 push buttons and you can connect some kind of display by I2C to visualize and select configuration modes.

The Robo Project is a mobile robotic platform featuring a Particle Argon board, 4 motor-wheels controlled by L293D drivers, and an HC-SR04 ultrasonic sensor for obstacle detection. It's ideal for exploration, remote control, and robotics education. #allThingsRobotics #project #robot #L293D #car

The Robo Project is a mobile robotic platform featuring a Particle Argon board, 4 motor-wheels controlled by L293D drivers, and an HC-SR04 ultrasonic sensor for obstacle detection. It's ideal for exploration, remote control, and robotics education. #project #robot #L293D #car

Control board for autonomous or radio-controlled robots. It has inputs to connect distance sensors and encoders for autonomous mode. It can be radio controlled by the ESP32 bluetooth or by connecting a Flysky RC controller receiver to the IBUS port. It also has 3 push buttons and you can connect some kind of display by I2C to visualize and select configuration modes.

This is a board for a robotic arm controlled by Particle Argon. Settings can be made using a display module that connects to the board. You can teach him to draw or cook. Just use your imagination!

quiero hacer un brazo robotico con 4 grados de libertad y con servomotores

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

sEMG-DAQ is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and transmitting them as sEMG data to an external AI accelerated board through an SM12B-SRSS IDC connector where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The board leverages an INA125P instrumentation amplifier together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing and data transmission of the signals. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG data. The board also has USB-FS and JTAG to cater for debugging. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.