Won the “Most Innovative Approach” award at the Flipkart Grid 2.0 hackathon in the national final out of 6000+ participants
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Designed a bot based on a lead-screw mechanism to robustly carry a payload of 3-5kgs
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Trained YoloV5 to generate 2D bounding boxes for staircase detection
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Demonstrated a PID-based speed controller simulation using ROS with camera and ultrasonic sensors plugin for navigation and obstacle avoidance
ROS simulation of autonomous navigation of bot
YOLOv5 for staircase detection