Jung‐Soo Han

About

Jung-Soo Han is a pioneering force in the field of wearable robotics, with a research focus centered on the design and control of exoskeleton systems for human power assistance and rehabilitation. His major contributions lie in developing sophisticated human-robot cooperation control strategies, particularly for upper and lower limb exoskeletons. Han’s work on dynamic model-based control for power amplification and passivity-based adaptive control has been foundational, enabling safer and more intuitive physical human-robot interaction (pHRI). His most cited paper, "The technical trend of the exoskeleton robot system for human power assistance" (2012), has garnered 190 citations, establishing him as a key authority in the field. Han also led the mechanical design of the Hanyang Exoskeleton Assistive Robot (HEXAR), a notable achievement that involved analyzing human joint function to optimize degrees of freedom and enhance lower body strength. With over 600 total citations across his top works, Han’s research continues to shape the development of energy-efficient, adaptive exoskeletons that seamlessly augment human capability, making him an essential reference for students and researchers advancing assistive robotic technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   The technical trend of the exoskeleton robot system for human power assistance

   190 citations · 2012
2. 2
   Human–robot cooperation control based on a dynamic model of an upper limb exoskeleton for human power amplification

   122 citations · 2014
3. 3
   Human-robot cooperative control based on pHRI (Physical Human-Robot Interaction) of exoskeleton robot for a human upper extremity

   61 citations · 2012
4. 4
   Passivity based adaptive control for upper extremity assist exoskeleton

   48 citations · 2016
5. 5
   Mechanical design of the Hanyang Exoskeleton Assistive Robot(HEXAR)

   47 citations · 2014
6. 6
   Adaptive impedance control for upper limb assist exoskeleton

   41 citations · 2015
7. 7
   Development of a muscle circumference sensor to estimate torque of the human elbow joint

   34 citations · 2014
8. 8
   Development of the exoskeleton knee rehabilitation robot using the linear actuator

   33 citations · 2012
9. 9
   Handling subject arm uncertainties for upper limb rehabilitation robot using robust sliding mode control

   27 citations · 2016
10. 10
    Energy-efficient gait pattern generation of the powered robotic exoskeleton using DME

    21 citations · 2010

Key Collaborators

Contact & Links