Pi 5 Differentiable Robot Simulation Kit – Learn Gradient-Based Policy Optimisation on Real Hardware

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

This kit puts a differentiable physics engine directly onto a Raspberry Pi 5 robot, letting you backpropagate through a PyBullet simulation to optimise motor control policies with gradient descent — no cloud, no sim-server, just real hardware learning from physics gradients. Ideal for final-year projects, research prototypes, or anyone pushing the frontier of edge-AI robotics.

What You'll Build

A differential-drive mobile robot that runs PyBullet’s differentiable simulation natively on the Pi 5. You’ll compute gradients of a reward function (like distance to a target) with respect to control parameters, then drive the motors with policies that improve every gradient step. The robot can learn tasks like navigation, obstacle avoidance, or trajectory tracking entirely on-device.

What You'll Learn

• Configure PyBullet with differentiable physics on ARM64 Ubuntu and the Pi 5 GPU
• Implement backpropagation through the robot’s forward dynamics inside the simulator
• Design and run gradient-based policy optimisation loops for real DC motor control
• Deploy learned policies onto the physical robot and close the sim-to-real loop

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE, EEE, and Mechatronics students taking on a capstone or Smart India Hackathon challenge that demands real hardware policy learning. IIT/NIT/BITS research scholars prototyping differentiable simulation on edge devices will find a ready-to-assemble platform. CBSE Class 12 and ATL Tinkering Lab mentors looking for an advanced AI robotics demonstration can use this kit to show gradient descent through physics in a tangible way.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.