AI Vision Quadruped Robot Dog | ESP32 Controlled Four-Leg Bionic Robot with Modular Structure | Supports ROS, OpenCV & TensorFlow for Object Recognition & Path Planning | STEM Educational Platform for AI Learning, Robotics Research & Autonomous Motion

AI robot dog education platform brings autonomous learning to life through a modular quadruped design combining AI vision recognition, bionic motion, and ESP32 wireless control. AI vision robot dog uses a high-definition camera and OpenCV to recognize objects, colors, and movement patterns in real time. AI programming robot teaches students machine-learning concepts through hands-on coding and sensor integration. STEM robot dog demonstrates motion control, autonomous balance, and real-world applications of AI.

AI vision system processes images through TensorFlow Lite for edge detection and classification. ESP32 microcontroller handles real-time communication between servo motors, sensors, and Wi-Fi modules. Autonomous robot dog executes walking, turning, and tracking tasks using PID control and IMU feedback for stability. Wi-Fi and Bluetooth allow users to operate from mobile devices or computers wirelessly. ROS integration enables simulation in Gazebo and data visualization in RViz for advanced learning.

Bionic robot design uses 18 servo motors for precise movement and four-leg coordination. Mechanical engineering students can modify joint angles, speed, and step sequence to experiment with different gaits. AI education focuses on data fusion from ultrasonic, infrared, and IMU modules to teach autonomous decision making. Modular robot structure allows students to assemble components like building blocks, encouraging creativity and innovation.

Computer-vision robot applications include object tracking, gesture control, and obstacle avoidance demonstrations. AI STEM robot teaches Python and Arduino programming through real-time experiments. Educational robot dog bridges AI concepts with mechanical systems to train future engineers in mechatronics and autonomous robotics. AI learning platform serves as a research tool for universities and AI innovation centers to explore autonomous navigation, object recognition, and robotic coordination.

1️⃣ AI Vision Recognition with HD Camera and OpenCV
AI vision teaches object detection, color recognition, and edge tracking using OpenCV libraries. Students learn real-time image processing and AI decision logic.

2️⃣ Four-Leg Bionic Design with Dynamic Balance
Bionic motion robot demonstrates walking, turning, and stance control. IMU feedback and PID algorithms maintain balance across uneven terrain.

3️⃣ Wireless ESP32 Control and IoT Connectivity
Wi-Fi and Bluetooth provide low-latency data exchange and remote control from mobile apps or PC dashboards.

4️⃣ ROS Simulation and AI Programming for STEM
ROS framework teaches node communication, topic publishing, and sensor fusion for autonomous robots. Students visualize SLAM and navigation paths in RViz and Gazebo.

5️⃣ Modular STEM Platform for AI and Mechanical Learning
Open-source design allows re-configuration of body frames, motors, and sensors to inspire innovation in AI, electronics, and robotics mechanics.