Team

Bio: Arvind is a first year Mechanical Engineering Ph.D student in Professor Horowitz’s lab and is interested broadly in learning motor skills and control policies for manipulation. He is experienced in deep learning for computer vision and motion planning techniques.

Contributions: Calibrating cameras intrinsics and extrinsics, ICP point cloud merge, tuning and training Diffusion EDF

Bio: Soomi is a first year Mechanical Engineering Ph.D. student in Professor Horowitz’s laboratory. Her interest lies in classical control and robot manipulation in construction. Her experiences are in designs and topology studies as she worked on robotics hardware for undergraduate research and internship at Samsung.

Contributions: Implementing MLP network for gain scheduling, training gain scheduling policy, and implementing spiral search

Bio: Samyak is a fourth year undergraduate student in Professor Horowitz’s lab. Samyak’s primary interested has been computer vision applications to robotics - particular more novel CV topics that could allow robots to maneuver in dynamic workspaces (particularly for human-robot interaction).

Contributions: Calibrating camera extrinsics, studying FlowRetrieval for original optical flow prediction idea (ultimately deemed infeasible by the team).