COAST: Constraints And Streams for Task and Motion Planning; Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning; Stabilize to Act: Learning to Coordinate for Bimanual Manipulation.
Research Experience
Developed faster long-horizon Task and Motion Planning algorithms for robotic manipulation at IPRL; worked on bimanual manipulation for clutter, specifically stacked clutter like books, at ILIAD.
Education
Master's in Computer Science from Stanford University; conducted research under Professor Jeannette Bohg at the Interactive and Perception and Robot Learning Lab (IPRL) during undergrad; also worked with Professor Dorsa Sadigh at the Intelligent and Interactive Autonomous Systems (ILIAD) group.
Background
Masters Computer Science student at Stanford. Passionate about robotics and AI.