Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

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 #template #L293D #car

Version 1.0 de la placa para Robot Minisumo RC

Template for creating an Arduino MKR shield (https://www.arduino.cc/en/hardware#mkr-family) #Arduino #template #project #arduinomkr #zero

Welcome to your new project. Imagine what you can build here.

Example project for an Arduino MKR shield. It adds an external flash memory to the Arduino MKR. Based on the Arduino MKR Shield template. #project #arduino #shield #MKR

The Arduino Uno learner's kit with ESP32 is a versatile educational tool for beginners. It combines an Arduino Uno board with additional components like a 2-channel motor driver, 7-segment display, relay outputs, programmable LEDs, push buttons, and analog inputs. This kit enables learners to explore electronics, programming, robotics, home automation, and more. With the ESP32 module, Wi-Fi and Bluetooth connectivity are possible, expanding the range of projects. It's a comprehensive package that fosters creativity and knowledge in the exciting world of electronics and programming. #arduino #esp32

The semgdaq board 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 feature extracting them then transmitting the feature data as vectors to an external AI accelerated board through an SM12B-SRSS IDC connector using 12C and UART communication protocals where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The feature vectors are comprised of onset detection, slope sign changes, autoregression coefficients and Short Time Fourier Transform magnitude spectrum data for each segment or window of the signals in real time. This vectors can be used as the basis for further feature extraction on more computationally resourceful hardware where machine learning algorthms can be employed for descision making in the applications mentioned earlier. The board leverages INA125P instrumentation amplifiers together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing, feature extraction and data transmission. 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 feature data. The board also has USB-FS and JTAG to cater for debugging and external flash memory to extend its data storage and processing capability. 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.

This is a BLE Controller project based on E73-2G4M04S1A module with SoC nRF52810 on board. Can be used to control RC cars, robots, planes, drones, etc #robotics #nRF52810 #E73 #Ebyte #BLE #referenceDesign

A precise stepper motor controller using the RP2350A MCU (Raspberry Pico 2) and L297/L298N drivers for two-phase bipolar motors. Great for robotics and automation applications. #RP2350 #Pico2 #StepperMotorDriver #L297 #L298N #Robotics #Automation #MotorControl