Sangjun Lee
Papers
6
Total Citations
98
H-Index
5
About
Sangjun Lee is a robotics researcher whose work spans wearable assistive devices, multi-robot systems, and underwater robotics. His most impactful contributions lie in the biomechanics and control of soft exosuits for walking assistance, particularly during loaded conditions. His 2017 paper on varying negative work assistance at the ankle with a soft exosuit (59 citations) demonstrated that carefully tuned negative work can reduce metabolic cost during loaded walking—a key insight for designing efficient, lightweight exoskeletons for military or industrial use. He also developed novel experimental protocols (18 citations) to rapidly tune robot assistance parameters, addressing a critical bottleneck in personalizing wearable robots for individual users. Beyond locomotion, Lee has contributed to multi-robot interaction media for visual communication, distributed control strategies resilient to cyberattacks (including deception and denial-of-service), and even underwater sediment sampling robot design (Tri-SedimentBot). His work is notable for bridging fundamental biomechanical analysis with practical robotic system design, and for addressing real-world challenges such as human-robot interaction, security in multi-robot networks, and field robotics. With a growing citation record and diverse applications, Lee is establishing himself as a versatile researcher in the intersection of robotics, biomechanics, and control systems.
Research Focus
Key Achievements
Top Papers
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- 4Tri-SedimentBot: An underwater sediment sampling robot6 citations · 2016
- 5Design of a Human Multi-Robot Interaction Medium of Cognitive Perception5 citations · 2019
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