Quadruped Bionic Robot Dog | Arduino & ESP32 Dual-Controller Robot with Metal-Gear Servos, IMU Balance & Wi-Fi Control | Programmable Motion & Gait Learning | STEM Educational Platform for AI, Robotics & Mechatronics Projects | Modular Design

Quadruped bionic robot dog designed for STEM education integrates Arduino and ESP32 controllers for powerful real-time motion control, balance stabilization, and Wi-Fi programming. The open-source platform combines mechanical engineering, coding, and AI logic into one immersive learning system for students, educators, and researchers.

Equipped with high-torque metal-gear servos, the robot demonstrates realistic four-legged gaits such as walking, turning, crouching, and balancing. Each joint operates independently under inverse kinematics and dynamic feedback from the built-in IMU sensor. Learners gain hands-on experience in mechatronics principles, gait planning, and multi-axis coordination.

Through Wi-Fi connectivity, users can control the robot via browser or mobile app without additional hardware. Students can program movements in C++ using Arduino IDE or through visual block coding environments. This dual-programming capability makes it perfect for beginners and advanced learners alike.

The modular solder-free design simplifies assembly and ensures quick maintenance. Numbered cables and durable aluminum brackets provide structural stability and professional-grade mechanical performance. Educators can easily integrate it into curricula to demonstrate concepts such as PID tuning, feedback loops, and autonomous control.

Students explore inverse kinematics, AI-driven motion, and IoT integration by designing new actions or modifying pre-set sequences. The robot supports autonomous walking modes and motion memory for repeated routines. Real-time telemetry allows monitoring of servo positions, voltage, and system status—turning abstract equations into tangible results.

Whether for classroom lessons, university research, or robotics competitions, this quadruped robot provides a complete bridge between theoretical robotics and hands-on engineering innovation.

1️⃣ Quadruped Robot Motion and Balance Control
Quadruped robot motion and balance control enable learners to study mechanical coordination, load distribution, and gait dynamics. Each servo joint executes precise movements under inverse kinematics, allowing students to visualize complex math models through live mechanical behavior. Built-in IMU sensors track real-time tilt and angular velocity, automatically compensating balance while walking.

2️⃣ Dual Controller Architecture (Arduino + ESP32)
Dual controller architecture combines Arduino’s precise servo control with ESP32’s Wi-Fi communication. Learners code in Arduino IDE to define gait cycles while ESP32 transmits wireless commands and sensor data. This integration demonstrates IoT-enabled robotics and data feedback systems for advanced education.

3️⃣ Open-Source STEM Education Robot Kit
Open-source STEM education robot kit offers editable code libraries, tutorials, and real-time debugging. Students experiment with inverse kinematics, PID tuning, and adaptive gait algorithms while building foundational skills in C++ programming and robotics logic.

4️⃣ Modular Solder-Free Design for Easy Learning
Modular solder-free design shortens setup time and increases educational efficiency. With pre-drilled aluminum parts and labeled wiring, students focus on engineering principles, not manual wiring. Perfect for collaborative STEM classrooms and robotics boot camps.

5️⃣ Wi-Fi Control and Autonomous Gait Learning
Wi-Fi control and autonomous gait learning enable users to switch between manual and self-programmed walking modes. Students upload custom gaits, observe system feedback, and tune motor parameters to achieve realistic movement. This teaches applied AI, machine control, and mechatronics integration.