Home Raspberry Pi 5 Visual Affordance Robot Arm Kit - Predicts Grasp Points
Classroom Engagement Camera Kit v11
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Raspberry Pi 5 Visual Affordance Robot Arm Kit - Predicts Grasp Points

SKU: CDN-KIT-4140 Brand: Compoden Category: Electronics > AI Robotics > Project Kits
Rs. 76,950.00
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Classroom Engagement Camera Kit v11 - Raspberry Pi 5 Visual Affordance Robot Arm for Education Analytics

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: Visual affordance learning and robotic grasping

For universities and research labs deploying education analytics, this kit enables a robotic arm to learn and predict optimal grasp points on entirely new objects. Using a Pi Camera and a custom affordance network on the Raspberry Pi 5, the arm grasps without needing object-specific training data-a step toward adaptive, AI-driven automation. It's built for undergraduate and postgraduate projects exploring computer vision, deep learning, and real-time robotic control.

What You'll Build

You'll assemble a 6DOF robot arm driven by a PCA9685 servo driver and MG996R servos, integrate a Pi Camera Module 3 for vision, and deploy a visual affordance network that processes images of objects to predict grasp points. The arm then uses force-torque feedback to execute a stable grasp, demonstrating a complete perception-to-action pipeline.

What You'll Learn

  • Training a visual affordance network on the Raspberry Pi 5 to predict grasp affordances from raw camera images.
  • Integrating force-torque sensors for real-time feedback during robotic grasping and manipulation.
  • Implementing servo control via PCA9685 driver and managing MG996R servos for precise 6DOF movements.
  • Deploying an end-to-end AI pipeline, from camera capture and inference to robotic execution, without pre-labeled object datasets.

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
Pi Camera Module 3 1
Servo Driver PCA9685 1
MG996R Servo 6
Robot Arm 6DOF Kit 1
Force-Torque Sensor 1
NVMe SSD 512GB 1
Pi 5 M.2 HAT+ 1
USB-C PSU 1
M-M Wires 25

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 kit is ideal for final-year B.Tech and M.Tech students in Electronics, Robotics, and Computer Science tackling Smart India Hackathon projects or academic research in AI-driven robotics. It's also suited for ATL Tinkering Labs at higher levels and university labs exploring visual affordance for autonomous manipulation.

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?

Our AI companion provides step-by-step guidance for every connection and code snippet; if you need human help, reach out via WhatsApp and our engineers will assist.

Do I need prior deep learning experience?

Yes, this kit assumes familiarity with Python, TensorFlow/PyTorch, and robotic kinematics. We provide pre-trained networks and examples, but you'll need to adapt them for your objects.

Can this kit handle objects of any shape?

The visual affordance network generalizes to novel shapes, but performance depends on your training data. We provide a dataset of common lab objects; you can extend it for your own use case.

Is the force-torque sensor essential?

Yes, it enables precise feedback to avoid crushing or dropping objects, which is critical for safe and reliable grasping in an education analytics scenario.

Education Analytics - Visual affordance network on Pi 5 predicts grasp points from object image - robot arm grasps novel objects without object-specific training.

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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