Robotics and computer vision / 2023
Assistive Perception System for a Quadruped Robot
Existing assistive guidance is rigid, expensive, and rarely contextual. A quadruped platform with reliable scene perception and clear audio cues could expand assistive options. But only if perception is dependable and the human-facing feedback is intelligible in real environments.
I led the computer vision and perception integration on a team project around a Unitree Go1 quadruped. The system consumes camera frames, runs YOLO-based detection through darknet_ros, publishes perception events on ROS topics, and drives an audio feedback layer (sound_play) that warns the user about obstacles and nearby objects.