Arduino Robot Training Tutorial
A comprehensive Arduino-based robot training system covering chassis control, sensor applications, robotic arm operation, and integrated project development.
Explore UNI Robotics training tutorials, product manuals, and project documentation — from fundamental applications to cutting-edge development.
Training tutorials for the M-Series robot kits, covering Arduino, OpenBlock graphical programming, STM32, ESP32, and other development methods.
A comprehensive Arduino-based robot training system covering chassis control, sensor applications, robotic arm operation, and integrated project development.
Uses the OpenBlock graphical programming platform with Arduino hardware, enabling beginners to quickly get started with robot development.
Arduino robot training tutorials presented in podcast format, perfect for on-the-go learning and self-paced study.
Robot development training based on the STM32 microcontroller, aimed at professional embedded development for university MCU and robotics courses.
Graphical robot training using the ESP32 board with Wi-Fi and rich peripheral support, ideal for IoT and robotics integrated courses.
Tutorials for the advanced P-Series training platforms, covering mobile navigation, embodied AI task planning, and end-to-end learning.
Tutorial for the UNI-WR2 portable ROS navigation platform, covering SLAM mapping, autonomous navigation, and computer vision training.
A comprehensive tutorial for the RAI-P4 platform integrating large models, voice, vision, and robotic arms, covering the full pipeline of intelligent agent task planning.
An end-to-end embodied robot deployment training tutorial based on the ALO-LE4 platform and ACT architecture, covering data collection, imitation learning, and engineering deployment.
Theory and practice knowledge bases for professional courses, covering machine vision, sensors, robotics, PID control, mobile navigation, and more.
A systematic overview of core machine vision technology, including image processing, object detection (YOLO), and multimodal VLM vision applications.
An integrated knowledge base on sensor principles and robot control, covering common sensor applications (ultrasonic, IMU, LiDAR, etc.) and control logic.
Interleaved theory and practice in core robotics, covering kinematics, dynamics, trajectory planning, and comprehensive lab projects.
PID control algorithm principles and robot engineering practice, focused on chassis and arm scenarios for parameter tuning and experimental validation.
Systematic knowledge of MCU fundamentals combined with the Arduino platform, covering peripheral drivers, interrupts, communication protocols, and robot application cases.
An advanced PID control manual covering cascade PID, feedforward control, and other strategies, with comprehensive engineering practice on mobile robots.
A complete knowledge base for ROS2-based mobile robot navigation and localization, covering Cartographer, Gmapping, Nav2 navigation stacks, and more.