Younghyo Park
Younghyo Park is a Ph.D. student in Electrical Engineering and Computer Science at MIT CSAIL, where he is advised by Professor Pulkit Agrawal in the Improbable AI Lab. His research focuses on how robot dynamics, controllers, and data-collection infrastructure shape learned policies, and he is known for developing open-source robotics tools including VisionProTeleop and the DART augmented reality teleoperation platform. He is a co-first author on the paper "Blind Precise Assembly: Proprioceptive Sim-to-Real Peg-in-Hole for Diverse Parts," which is hosted at his personal site younghyopark.me. Prior to MIT, he worked as a full-time research scientist at NAVER LABS and earned his B.S. in Mechanical Engineering from Seoul National University.
“Younghyo Park, MIT (co-first author), Co-led the work. Hosts the project page at younghyopark.me/blind-proprioceptive-assembly/. Equal contribution.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.