Personal Website

H.J. Terry Suh 서형주Hyung Ju Terry Suh

I’m the co-founder and CTO of CarbonSix, where we build Physical AI for manufacturing. I work on giving robots human-like dexterity, and did my Ph.D. at MIT CSAIL.

terry.suh at carbon6robotics dot com

Introduction

CarbonSix

I co-founded CarbonSix in 2024, where I am the CTO and lead R&D on SigmaKit, the world’s first industrial imitation learning kit for manufacturing.

Awards

Inaugural IJRR Paper of the Season 2026

IEEE T-RO King-Sun Fu Memorial Best Paper Award, Honorable Mention 2023

ICML Outstanding Paper Award 2022

IEEE RAS TC on Model-Based Optimization for Robotics, Best Paper Award 2022

Research interest

I work on giving robots human-like dexterity in manipulation. My research focuses on efficient Physical AI, combining model-based tools with robot learning to achieve robust performance in the small-data regime.

Academics
  • MIT CSAIL2019 – 2024Ph.D. · Advisor: Russ Tedrake
  • Caltech2013 – 2019B.S., Mechanical Engineering and Computer Science
  • Korean Minjok Leadership Academy2010 – 2012High School
Industry

Recent Events

  1. CarbonSix raised a $40M Series A to deploy Physical AI across global manufacturing.
  2. Our paper on the contact trust region received the inaugural IJRR Paper of the Season award (news).
  3. We launched SigmaKit, a standardized robot imitation learning toolkit for manufacturing.
  4. I co-founded CarbonSix, where I am the CTO.
Show 11 earlier eventsShow fewer
  1. Our Transactions on Robotics paper got Honorable Mention for 2023 T-RO King-Sun Fu Memorial Best Paper Award of the Year.
  2. I am hosting a Workshop on Leveraging Models for Contact-Rich Manipulation at IROS 2023 with colleagues.
  3. Our ICML paper got the IEEE RAS TC on Model-Based Optimization for Robotics 2022 Best Paper Award of the Year.
  4. I started my internship at Boston Dynamics AI Institute with Tao Pang and Jiuguang Wang.
  5. Our paper on differentiable simulators got Outstanding Paper Award at ICML 2022! See my talk here!
  6. I am TAing a class on Robotic Manipulation this term (MIT 6.881).
  7. I am doing an internship at Toyota Research Institute: Robotics for the summer in the manipulation team, with Naveen Kuppuswamy.

CarbonSix

CarbonSix builds Physical AI for manufacturing, aimed at the high-variance work that conventional robots leave to people: deformable parts, thin films, swinging hooks. Our product, SigmaKit, combines AI software with robotic hands, teaching devices and sensor modules. An operator demonstrates a task and the robot learns it as a skill, with no coding or AI expertise required. These clips run autonomously at 1x speed.

Swinging, reflective hooksHook latching
Wrinkled, semi-transparent filmPrecision peeling
Collapsing pouch, twisting beltBimanual belt extraction
Sagging, shifting strapsTon-bag strap hanging
Shifting position and tiltLabel maker assembly
Flexible, elastic cablesCable insertion
Thin, reflective partsHooking
Varying mounts and anglesAir-conditioner filter removal
Irregular, soft dumplingsDumpling arrangement

Academic Research

Dexterous Contact-Rich Manipulation via the Contact Trust Region

H.J. Terry Suh*, Tao Pang*, Tong Zhao, Russ Tedrake

2026 International Journal of Robotics Research (IJRR)

Inaugural IJRR Paper of the Season

Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization

Lujie Yang, H.J. Terry Suh, Tong Zhao, Bernhard Paus Graesdal, Tarik Kelestemur, Jiuguang Wang, Tao Pang, Russ Tedrake

2025 Robotics: Science and Systems (RSS)

Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans?

Yuki Shirai, Tong Zhao, H.J. Terry Suh, Huaijiang Zhu, Xinpei Ni, Jiuguang Wang, Max Simchowitz, Tao Pang

2025 International Conference on Robotics and Automation (ICRA)

Leveraging Structure for Efficient and Dexterous Contact-Rich Manipulation

H.J. Terry Suh

MIT Thesis, Ph.D. degree, 2025

Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching

H.J. Terry Suh, Glen Chou*, Hongkai Dai*, Lujie Yang*, Abhishek Gupta, Russ Tedrake

2023 Conference on Robot Learning (CoRL)

Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasidynamic Contact Models

Tao Pang*, H.J. Terry Suh*, Lujie Yang, Russ Tedrake

2023 Transactions on Robotics (T-RO)

Honorable Mention for T-RO 2023 King-Sun Fu Memorial Best Paper Award of the Year

Figure 1 of the paper: a ball rolling over a hill, a ball thrown at a wall and a pendulum, each with its discontinuous objective and the smoothed version

Do Differentiable Simulators Give Better Policy Gradients?

H.J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake

2022 International Conference on Machine Learning (ICML)

ICML Outstanding Paper Award

IEEE RAS TC on Model-based Optimization for Robotics 2022 Best Paper Award of the Year

Pathologies and Challenges of Using Differentiable Simulators in Policy Optimization for Contact-Rich Manipulation

H.J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Tao Pang, Russ Tedrake

ICRA 2022 Workshop: Reinforcement Learning for Contact-Rich Manipulation

Bundled Gradients via Randomized Smoothing

Bundled Gradients through Contact via Randomized Smoothing

H.J. Terry Suh*, Tao Pang*, Russ Tedrake

2022 Robotics and Automation Letters (RA-L), Presented at 2022 ICRA

SEED: Series Elastic End-Effectors in 6D For Visuotactile Tool Use

H.J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake

2022 International Conference on Intelligent Robots and Systems (IROS)

SEED: Series Elastic End-Effectors in 6D For Compliant Visuotactile Tool Use

H.J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake

2022 ICRA Workshop: Compliant Robot Manipulation: Challenges and New Opportunities

The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation

H.J. Terry Suh, Russ Tedrake

2020 International Workshop on the Algorithmic Foundations of Robotics (WAFR)

Predictive Models for Visuomotor Feedback Control in Object Pile Manipulation

H.J. Terry Suh

MIT Thesis, S.M. degree

Hybrid Locomotion

Energy-Efficient Motion Planning for Multi-Modal Hybrid Locomotion

H.J. Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron Ames, Joel Burdick

2020 International Conference on Intelligent Robots and Systems (IROS)

Design and Planning of Flying-Driving Hybrid Robot

H.J. Terry Suh

Bachelor’s Thesis, California Institute of Technology, 2019

Simulation result from semantic task planning

Semantic Task Planning with Temporal Logic Synthesis

Semantic Task Planning in Household Environments using Temporal Logic Synthesis

H.J. Terry Suh

Self-hosted, 2018

Haptic manipulator hardware for vehicle teleoperation

Vehicle Teleop with Impedance Controlled Manipulator

Manipulator-based Haptic Controller for Car-like Vehicles

H.J. Terry Suh, Peter Renn, Qifan Wang, Neha Sunil

Self-hosted, 2018

Paths from the car-like vehicle planner

Fast Path Planner for Car-like Nonholonomic Vehicles

A Fast PRM Planner for Car-like Vehicles

H.J. Terry Suh, James Deacon, Qifan Wang

Self-hosted, 2018

Planar features tracked on KITTI street images

Visual-Inertial SLAM with High-Dimensional Features

Inertial-aided Normal Estimation for Planar Feature Mapping: Unique Solutions to Homography Decomposition

H.J. Terry Suh

Self-hosted, 2018

Anthropomorphic arm with linear actuators

Design of an Anthropomorphic Arm with Linear Actuators

Design of an Anthropomorphic Closed-loop Chain Manipulator

H.J. Terry Suh, James Deacon, Hana Keller

Self-hosted, 2017

Humanoid-oriented movement writing notation

Humanoid-Oriented Movement Writing

Towards a Humanoid-Oriented Movement Writing

A. Stoica, H.J.T. Suh, S.M. Hewitt, S. Bechtle, A. Gruebler, Y. Iwashita

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Intelligent bear robot

Intelligent Bear Robot that Learns Emotions

Design of an Intelligent Bear Robot with Emotional Learning Capabilities for Enhanced Human-robot Interaction

H.J.T. Suh, W.S. Lee, J.H. Seo

Self-hosted, 2014