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Pi 5 Reward Shaping Robot Research
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Pi 5 Reward Shaping Robot Research

SKU: CDN-KIT-2496 Brand: Compoden Category: Electronics > AI Robotics > Project Kits
Rs. 61,580.00
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Accelerate Reinforcement Learning Research with the Raspberry Pi 5 Reward Shaping Robot 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.

Difficulty: Advanced Build Time: 10-12 hrs Age: 18-25 Skill: Potential-Based Reward Shaping

Build a research-grade differential-drive robot and use it to implement potential-based reward shaping on the Raspberry Pi 5. You’ll train navigation policies with and without shaping, then compare convergence rates and final behaviour — just as a graduate RL lab would. This kit lets you move from theoretical planning to real‑world RL evaluation in a single project, using a platform that replicates genuine research workflows.

What You'll Build

You’ll assemble a fully mobile robot with the Pi 5 as the onboard brain, an NVMe SSD for low‑latency data logging, and a Cytron motor driver controlling two DC motors. The robot runs custom Gymnasium environments where you inject a potential function based on distance‑to‑goal. You’ll log Q‑values, loss curves, and success rates to visualize exactly where reward shaping cuts training time without altering the optimal policy.

What You'll Learn

  • Implement potential‑based reward shaping using handcrafted features and verify that it preserves the optimal policy
  • Compare sample efficiency of Q‑learning/DQN variants with and without shaping on a real mobile robot
  • Set up a Raspberry Pi 5 with an NVMe SSD and M.2 HAT for high‑speed RL data handling and model checkpointing
  • Interface DC motors with a Cytron driver and integrate them into a closed‑loop RL loop using real‑time odometry feedback

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
NVMe SSD 512GB 1
Pi 5 M.2 HAT+ 1
Cytron Motor Driver 1
DC Motor 2
Robot Chassis 1
USB-C PSU 1
M-M Wires 20

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

Ideal for B.Tech and M.Tech students at IITs, NITs, VIT, and BITS Pilani working on RL capstone projects, Smart India Hackathon teams building autonomous robots with fast learning cycles, and ATL Tinkering Lab mentors guiding advanced independent study. If you’re ready to move beyond simulation and compare shaped vs unshaped convergence on real hardware, this kit was built for you.

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.

What if I get stuck during the build?

Open the AI companion from the QR code on the box; it walks through every connection and can diagnose common miswiring. You can also message us on WhatsApp for real‑time help.

Can I run Python and RL libraries directly on the Pi 5?

Yes, the NVMe SSD gives you fast I/O for large replay buffers. You can install Gymnasium, Stable‑Baselines3, or TensorFlow Lite directly on the Pi 5 without external compute.

How exactly do I compare shaped and unshaped rewards?

The AI companion guides you through coding a potential function based on distance to the goal. You’ll run both variants and export metrics like steps‑to‑goal and Q‑value convergence for a side‑by‑side comparison.

Does this kit support sim‑to‑real transfer experiments?

Absolutely. Train your policy in a simulated environment first, then load it onto the robot. The shaping function can help bridge the reality gap by shaping exploration behaviour in the same way.

Potential-based reward shaping on Pi 5 accelerates RL convergence without changing optimal policy — compare shaped vs unshaped.

What's in this kit

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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