Pi 5 Bayesian Optimisation Robot Tuner: Find Optimal PID Gains in Minimal Trials

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

Construct a wheeled robot driven by a Raspberry Pi 5 and refine its motion controller using Bayesian optimisation. Instead of manual tuning that wastes hours and risks damaging motors, you'll deploy Gaussian process regression to converge on optimal hyperparameters in just a handful of real-world runs. This kit transforms academic theory into a tangible, self‑calibrating robot ideal for machine learning and control system exploration.

What You'll Build

You'll assemble a two‑wheeled robot platform that learns its own best behaviour. By running short back‑and‑forth trajectories, the onboard optimiser tunes PID gains or other controller parameters to minimise settling time, steady‑state error, and overshoot. The result is a responsive robot that completes a calibration sequence in minutes, not hours, ready for path tracking or research demonstrations.

What You'll Learn

• Implement Gaussian process regression and acquisition functions (e.g., expected improvement) for Bayesian optimisation
• Interface IMU and encoder data to compute closed‑loop control errors in real time
• Design a cost function that balances speed, overshoot, and energy efficiency in robot motion
• Set up Raspberry Pi 5 with NVMe SSD for fast data logging and on‑device optimisation loops

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for B.Tech ECE/EEE final‑year students working on capstone projects, Smart India Hackathon participants tackling AI‑driven hardware, and research interns at IITs or NITs prototyping active learning on embedded systems. Ideal if you’re comfortable with Python, Linux, and basic control theory and want a complete, ready‑to‑run platform for Bayesian optimisation experiments.

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.