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Pi 5 Hierarchical Robot Task Planner
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Pi 5 Hierarchical Robot Task Planner

SKU: CDN-KIT-2454 Brand: Compoden Category: Electronics > AI Robotics > Project Kits
Rs. 65,890.00
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Run a Hierarchical Task Planner on a Physical Robot with Raspberry Pi 5

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: LLM-Based Task Decomposition & Robotic Execution

Imagine commanding a robot with a single high-level sentence—“pick up the red block and place it on the shelf”—and watching it reason, plan, and physically complete the task. This kit lets you build that system from the ground up. You’ll deploy a large language model (LLM) on the Raspberry Pi 5 that dynamically breaks down goals into sub-tasks, passes them to a symbolic planner, and drives a real DC-motor robot with vision feedback. It’s an end-to-end AI robotics pipeline condensed into one hands-on project.

What You'll Build

You’ll assemble a compact wheeled robot with a Pi Camera Module 3 and NVMe SSD storage, then configure the Pi 5 to run an LLM-based task planner. The system accepts natural language goals, translates them into a sequence of actionable steps (move, locate, pick, place), and executes each step on the physical chassis. By the end, you’ll have a fully functional demonstration of hierarchical planning that you can extend with your own use cases.

What You'll Learn

  • Integrate an LLM (like LLaMA) on Pi 5 for real-time goal decomposition
  • Design a symbolic action dispatcher that maps planner output to motor commands
  • Calibrate and use the Pi Camera Module 3 for visual localisation and feedback loops
  • Optimise Raspberry Pi 5 performance with NVMe SSD via M.2 HAT+ for low-latency planner execution

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
NVMe SSD 512GB 1
Cytron Motor Driver 1
DC Motor 2
Robot Chassis 1
Pi Camera Module 3 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

This is built for B.Tech ECE, CSE, and AI/ML students who want a capstone project that impresses faculty and hackathon judges. It’s also ideal for participants in Smart India Hackathon or DRDO/Robocon teams, as well as researchers at IITs, NITs, VIT, or BITS Pilani prototyping autonomous planning stacks. If you have basic Python and Linux familiarity and want to break into AI robotics, this kit accelerates your learning by months.

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 chat with the AI companion trained on this kit’s exact build steps, or message us on WhatsApp for engineer support—we typically reply in under 4 hours.

Do I need prior experience with ROS or robot planning frameworks?

No. This project uses a lightweight Python planning stack that you’ll understand line by line. Familiarity with Python and basic GPIO is enough to get started.

Can I run the LLM entirely offline on the Pi 5?

Yes. The 8GB RAM and NVMe SSD let you run quantised models like LLaMA 3.2 or Mistral locally, so no cloud dependency after the initial setup.

Is this kit suitable for a Smart India Hackathon hardware project?

Absolutely. The hierarchical planning architecture is a strong differentiator; you can extend it with voice commands or custom task domains to create a standout prototype.

LLM task planner on Pi 5 decomposes high-level goals into sub-tasks — symbolic planner executes sub-tasks on physical robot.

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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