Jee-Hwan Ryu

About

Jee-Hwan Ryu is a prominent robotics researcher whose work spans teleoperation, soft robotics, and advanced actuation systems. Best known for his highly influential 2019 survey on robotic artificial muscles (380 citations), Ryu has made foundational contributions to understanding biologically inspired actuators — from shape memory alloys to dielectric elastomers — that offer high power-to-weight ratios and inherent compliance for next-generation robotic systems. His research into twisted string actuation systems (156 citations) established improved mathematical models that have become reference points for compact, lightweight transmission design. In the domain of teleoperation, Ryu has pursued both theoretical and applied frontiers, contributing to passivity-based control frameworks for delayed systems and leading the celebrated KONTUR-2 mission (110 citations), which demonstrated force-feedback teleoperation from the International Space Station. His work further extends into soft growing robots, developing intuitive interfaces and tip-mount tools that enable navigation in confined and hazardous environments. Across mobile robot teleoperation, learning from demonstration, and haptic feedback, Ryu's research consistently bridges fundamental theory with real-world deployment, accumulating over 1,000 citations and establishing him as a versatile and impactful voice in modern robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic Artificial Muscles: Current Progress and Future Perspectives

   380 citations · 2019
2. 2
   Twisted String Actuation Systems: A Study of the Mathematical Model and a Comparison of Twisted Strings

   156 citations · 2013
3. 3
   KONTUR-2: Force-feedback teleoperation from the international space station

   110 citations · 2016
4. 4
   Network representation and passivity of delayed teleoperation systems

   63 citations · 2011
5. 5
   A preliminary experimental study on haptic teleoperation of mobile robot with variable force feedback gain

   58 citations · 2010
6. 6
   A Tip Mount for Transporting Sensors and Tools using Soft Growing Robots

   52 citations · 2020
7. 7
   Novel learning from demonstration approach for repetitive teleoperation tasks

   51 citations · 2017
8. 8
   Network representation and passivity of delayed teleoperation systems

   51 citations · 2011
9. 9
   Development and Evaluation of an Intuitive Flexible Interface for Teleoperating Soft Growing Robots

   48 citations · 2018
10. 10
    A user study of command strategies for mobile robot teleoperation

    45 citations · 2009

Key Collaborators

Contact & Links