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hardware // software
Baxter two-armed robot configured to recognize and move desk items. Used AR tags, which help identify an object’s position and orientation within a 3D space to fine-tune kinematics and trained deep learning model to recognize and localize our objects
The class project was to design a racing robot which can follow a curving and self-crossing racetrack at speeds greater than 3 meters per second using an optical sensor. Each team starts with a standard 1/10th-scale RC car platform and a pre-built CPU board, determines an optimal strategy, and designs sensors, electronics, and control algorithms. Vehicles individually follow a 100 meter course, staying on track and avoiding obstacles.