Raspberry Pi 5 Robot Arm Kit: EWC & AI Sequential Task Learning
Raspberry Pi 5 Robot Arm Kit with EWC: Learn Sequential Task Mastery Without Forgetting
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 build a real 4-DOF robot arm that uses a Pi Camera to learn a sequence of pick-and-place tasks, applying Elastic Weight Consolidation (EWC) to avoid catastrophic forgetting. Benchmark the results directly against naive fine-tuning on the same hardware - no simulation, just physical execution. Simulate retail restocking scenarios where a camera detects footfall cues and triggers sequential grasping, testing whether the arm remembers all prior tasks after learning new ones.
What You'll Build
A complete vision-guided robotic manipulator on a desk. You'll train it to grasp from one bin and place into another, then add a second task and a third, tracking accuracy after each new training phase. The EWC implementation preserves synaptic importance, so you'll see exactly where naive fine-tuning degrades earlier skills. The kit yields a reusable testbed for continual learning research in a compact form.
What You'll Learn
- Implement the EWC loss function on a Pi 5 and integrate it into a convolutional object classifier
- Design sequential manipulation tasks with physical outcomes and log per-task accuracy
- Control four MG996R servos via PCA9685 for repeatable trajectories using inverse kinematics
- Benchmark forgetting curves - compare EWC versus vanilla fine-tuning on the same exact hardware loop
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi Camera Module 3 | 1 |
| Servo Driver PCA9685 | 1 |
| MG996R Servo | 4 |
| Robot Arm Kit | 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 CSE, ECE, and AI/ML students tackling Smart India Hackathon challenges involving continual learning or manipulator control. Research assistants at IITs and NITs setting up rapid prototypes for forgetting experiments. ATL Tinkering Lab mentors guiding advanced learners through real-world benchmarking of AI stability. If you can already load a model on a Pi and control a servo through GPIO, you are ready.
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?
The AI companion handles wiring, software setup, and training code walkthroughs. WhatsApp support is also available for real-time troubleshooting with our engineers.
Does this kit require prior ML experience?
Familiarity with training a simple CNN in Python is expected. The AI companion includes a Colab-ready notebook that you adapt to the Pi 5's Arm architecture.
How is the benchmark comparison executed?
You train a base task, save weights, then introduce a second task with both EWC and a separate naive fine-tuning run. Metrics are logged locally and can be visualised with supplied scripts.
Can I use the arm without EWC for pure automation?
Yes. The robot arm, camera, and driver work independently; the EWC benchmarking layer is an opt-in software stack you can replace with any control logic.
Retail Analytics - EWC prevents catastrophic forgetting as Pi 5 robot learns sequential manipulation tasks - benchmark against naive fine-tuning.
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