Jae In Kim
Papers
6
Total Citations
94
H-Index
5
About
Jae In Kim is a robotics researcher advancing the frontiers of soft robotics, force sensing, and wearable assistive technologies. His work centers on developing bio-inspired actuators and sensing systems that enable robots to operate safely and dexterously in unstructured environments. Kim’s most cited paper, “Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning” (27 citations), introduces a novel approach to locomotion for soft robots, combining membrane vibration actuators with adaptive control to overcome challenges in speed and controllability. He further contributed to the field with “A Simple Tripod Mobile Robot Using Soft Membrane Vibration Actuators” (20 citations), demonstrating practical, pneumatic-free designs for mobile robots. In force sensing, Kim’s “Fiber-Optic Force Sensing of Modular Robotic Skin for Remote and Autonomous Robot Control” (20 citations) and “Force Sensitive Robotic End-Effector Using Embedded Fiber Optics and Deep Learning Characterization for Dexterous Remote Manipulation” (14 citations) pioneer fiber-optic tactile skins that mimic animal mechanoreception, enabling high-dexterity remote manipulation. His recent work on the “Bilateral Back Extensor Exosuit” (10 citations) addresses workplace spinal injury prevention through multidimensional force assistance. Kim’s innovations, including the Twisted Elastic Rotary-Rail Actuator, reflect a commitment to compliant, safe, and intelligent robotic systems that bridge the gap between soft materials and practical autonomy.
Research Focus
Key Achievements
Top Papers
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- 3A Simple Tripod Mobile Robot Using Soft Membrane Vibration Actuators20 citations · 2019
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