H.J. Terry Suh
Scholar

H.J. Terry Suh

Google Scholar ID: B6iZVE0AAAAJ
Massachusetts Institute of Technology
RoboticsManipulation
Citations & Impact
All-time
Citations
511
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
15
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 2023 T-RO paper received Honorable Mention for the 2023 King-Sun Fu Memorial Best Paper Award.
  • 2022 ICML paper 'Do Differentiable Simulators Give Better Policy Gradients?' won ICML Outstanding Paper Award and IEEE RAS TC on Model-Based Optimization for Robotics 2022 Best Paper Award.
  • Published multiple papers on contact-rich manipulation, differentiable simulators, and offline reinforcement learning at CoRL 2023, T-RO 2023, ICML 2022, and ICRA 2022 workshops.
  • Organized the IROS 2023 Workshop on Leveraging Models for Contact-Rich Manipulation.
  • Organizing the MIT Embodied Intelligence Seminar in 2023.
  • Multiple works featured in MIT News.
Research Experience
  • Conducting doctoral research at MIT's Robot Locomotion Group.
  • Interned at Boston Dynamics AI Institute (BDAI) with Tao Pang and Jiuguang Wang.
  • Interned at Toyota Research Institute (TRI) Robotics manipulation team with Naveen Kuppuswamy.
  • Interned at NASA JPL.
  • Served as a teaching assistant for MIT course 6.881 Robotic Manipulation.