Pi 5 Uncertainty Aware Robot Navigation
Pi 5 Uncertainty Aware Robot Navigation — A Bayesian Neural Network on Wheels
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Your robot will see obstacles through a Pi Camera and RPLidar, then run a Bayesian neural network right on the Pi 5 to estimate how confident it is in those detections. When the model is uncertain — say, a cluttered corner or a reflective surface — the planner automatically slows down and takes a wider, safer path. This isn’t just obstacle avoidance; it’s risk‑aware navigation built for academic research, Smart India Hackathon prototypes, and final‑year engineering projects.
What You'll Build
An autonomous ground robot that fuses camera and lidar data, quantifies uncertainty with a Bayesian neural network, and generates conservative motion plans in real time. The robot maps its indoor environment, labels risk zones, and drives a chassis with differential steering, all while logging uncertainty maps to the onboard SSD. You’ll have a fully functional platform that demonstrates AI‑driven decision‑making under uncertainty — ideal for B.Tech demonstrations, IEEE papers, or lab‑scale experiments.
What You'll Learn
- Deploy a Bayesian neural network on Raspberry Pi 5 for real‑time inference
- Fuse lidar point clouds with camera images to build richer obstacle representations
- Convert model uncertainty scores into actionable path planning constraints
- Integrate motor control, sensor drivers, and an NVMe storage stack into a coherent robotics pipeline
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| RPLidar A1 | 1 |
| Pi Camera Module 3 | 1 |
| Cytron Motor Driver | 1 |
| DC Motor | 2 |
| Robot Chassis | 1 |
| NVMe SSD 512GB | 1 |
| Pi 5 M.2 HAT+ | 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
B.Tech ECE, EEE, and CSE students tackling final‑year projects or Smart India Hackathon challenges will find this kit immediately relevant. M.Tech researchers working on uncertainty quantification in robotics can skip hardware integration and jump straight into algorithm refinement. ATL Tinkering Labs at IITs, NITs, VIT, and BITS Pilani now have a reproducible, high‑level reference design for AI robotics workshops.
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?
Scan the QR code to open the AI companion; it recognises your exact kit and can troubleshoot step by step. If you need human help, send a photo on WhatsApp and our team will respond within a few hours.
Can this robot handle outdoor terrains?
The RPLidar A1 and chassis are designed for indoor flat surfaces only. For outdoor rough‑terrain navigation, additional sensory hardware and a different locomotion platform would be required.
Do I need to train the Bayesian neural network from scratch?
No. A pre‑trained model is included on the SSD, ready to run. You can fine‑tune it with your own data using the provided scripts and logging framework.
Can I add a depth camera like Intel RealSense later?
Yes. The software pipeline is modular; you can integrate additional sensors via the ROS2 drivers pre‑installed on the Pi 5, and the uncertainty estimation module will accept new input modalities.
Bayesian neural network on Pi 5 quantifies uncertainty in obstacle detection — robot plans conservative paths when uncertain.
What's in this kit
- Raspberry Pi 5 8GB
- RPLidar A1
- Pi Camera Module 3
- Cytron Motor Driver
- DC Motor x2
- Robot Chassis
- NVMe SSD 512GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x20
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