Bridge the Sim-to-Real Gap: Raspberry Pi 5 PPO Transfer Research Kit

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 lets you train a Proximal Policy Optimization (PPO) agent inside Nvidia Isaac Gym on your PC, then execute the same policy on a physical differential-drive robot you build around the Raspberry Pi 5. Domain randomisation techniques — varying friction, mass, timing delays — help your agent survive the reality gap, making it a complete research platform for advancing sim-to-real transfer.

What You'll Build

You’ll assemble a two-wheel robot with magnetic encoders for odometry, an MPU9250 IMU for orientation, and a high-speed NVMe SSD for logging training data. The final system runs a PyTorch model on the Pi 5, accepting sensor inputs and issuing motor commands in real time — a true testbed for your RL algorithms.

What You'll Learn

• Setting up a sim-to-real pipeline using Nvidia Isaac Gym and Raspberry Pi 5
• Designing domain randomisation strategies to bridge the reality gap
• Deploying a PyTorch-trained PPO policy on embedded hardware for real-time control
• Tuning motor control with encoder feedback for reliable physical locomotion

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for B.Tech (ECE, CS, AI) and M.Tech students at IITs, NITs, VIT, BITS Pilani working on reinforcement learning or robotics projects. It fits Smart India Hackathon problem statements involving autonomous robots, ATL Tinkering Lab mentors exploring advanced AI, and independent researchers who want a repeatable sim-to-real pipeline without piecemeal part sourcing.

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.