[AfA2026-PhysicalAI] - "LeNurse" Bedside Assistant

Arduino App Lab

Arduino® UNO™ Q 2GB

Arduino Uno Rev3

SO100

<html><body>An advanced Vision-Language-Action (VLA) model-based agentic robot system that provides intelligent assistance for bedridden patients. This cutting-edge solution combines state-of-the-art multimodal AI with robotic manipulation, enabling natural voice-controlled assistance that understands both visual context and verbal commands. This solution addresses critical needs in healthcare and elderly care, particularly for bedridden patients who require assistance with daily tasks. By leveraging vision-language-action models, the system can adapt to novel situations and objects without requiring pre-programmed trajectories. Hardware Lineup <ol><li>Arduino UNO Q - Main controller with integrated vision capabilities for VLA model inference </li><li>Integrated Camera - Real-time visual perception for the Vision-Language-Action model </li><li>SO-101 5 DOF Robotic Arm - High-precision robotic manipulator with ST servo motors </li><li>Microphone - Natural language voice command input </li><li>Speaker - Audio feedback and status updates </li></ol>Watch our demo here - <figure><iframe src="https://youtu.be/BgnGZIz5aYY?si=ekYoHMiJBiURDfDX"></iframe></figure> </body></html>

[AfA2026-PhysicalAI] - "LeNurse" Bedside Assistant

Our project is advanced Vision-Language-Action model based agentic robot system that leverages the SO-101 5 DOF robot to perform assistive actions using voice control. This is useful for bedridden patients, especially those who are bedridden.