Sem II - Mini project🌊
A custom-built, jellyfish-inspired underwater robot designed to detect and collect marine plastic pollution, demonstrating intelligent perception and basic grasping motion.
NeroBot represents a blend of advanced computer vision and fundamental robotics to tackle marine pollution.
Intelligent perception system using YOLO (You Only Look Once) to identify plastic bottles in real-time video feed.
The Arduino Uno serves as the brain for the physical prototype, managing motor control for movement and grasping actions.
A mechanical arm powered by SG90 Servo motors and cardboard, successfully simulating the autonomous collection of waste.
Prototype built with recycled components (bottles) and focused on addressing the critical issue of marine plastic pollution.
The software utilizes efficient models (YOLO, TorchScript) for real-time perception, while the hardware relies on the robust Arduino Uno for control and actuation.