Pi 5 Robotic Nurse Assistant Tray: Build an AI-Powered Hospital Delivery Robot

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 an autonomous robot that uses Raspberry Pi 5 and AI to navigate hospital corridors and deliver medication to specific rooms. The Pi Camera Module 3 with YOLOv8 reads room numbers, and RPLidar A1 handles obstacle avoidance. Ideal for students exploring healthcare robotics.

What You'll Build

By the end of this project, you'll have a working robot that can autonomously navigate a hallway, identify labeled rooms using a camera, and stop at the correct door to simulate medication delivery. The chassis includes mounting points for a tray (not included), so you can place a lightweight container to carry mock medication packages. The entire system runs on-device on a Raspberry Pi 5 with an NVMe SSD for fast model loading.

What You'll Learn

• Train and deploy YOLOv8 for real-time object detection on a Raspberry Pi 5
• Integrate depth perception and SLAM using an RPLidar A1 for corridor mapping
• Program motor control with encoder feedback for precise movement and positioning
• Build an end-to-end AI robotics prototype applicable to smart hospital logistics

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is ideal for B.Tech ECE/EEE students taking up robotics projects for healthcare applications, participants in Smart India Hackathon events, and CBSE Class 11-12 students exploring AI under the ATL innovation framework. It also suits hobbyists and IIT/NIT/VIT/BITS students