“Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robot” (RSS 2024), co-first author; finalist for Best Systems Paper Award at RSS 2024
“Open X-Embodiment: Robotic Learning Datasets and RT-X Models” (ICRA 2024), collaborator; received Best Conference Paper Award at ICRA 2024
“TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation” (CoRL 2022), first author; proposed a vision-based system requiring only 10 point cloud demos without pose annotations
“Deep Projective Rotation Estimation through Relative Supervision” (CoRL 2022), co-first author; introduced a novel self-supervised orientation estimation algorithm
“Examining the rhetorical capacities of neural language models” (EMNLP BlackboxNLP Workshop 2020), co-author; evaluated rhetorical abilities of neural language models using Rhetorical Structure Theory
Research Experience
Summer 2024 intern at Boston Dynamics, working on perception for Atlas manipulation
At CMU, collaborated with David Held on object-centric 3D representations for precise manipulation
At University of Toronto, conducted research with Eugenia Kumacheva on fabricating human micro blood vessels
Worked on FPGA software at Altera (acquired by Intel)
Contributed to motion planning for autonomous vehicles at aUToronto
Co-founded the machine learning student club UTMIST