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Taekyoung Kim

5 accepted papers

2026

Damage Adaptation in Seconds for Architected Materials

RSS 2026poster

Adaptation to damages and in-situ physical repairs is essential for long-term robot autonomy, yet challenging outside of narrowly defined and well-anticipated bounds. In this work we proprioceptively adapt to catastrophic damage in soft-actuated systems in under one minute. Architected materials are…

Cited by 0SourceScholar
2025

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot

IROS 2025

Closed-loop control remains an open challenge in soft robotics. The nonlinear responses of soft actuators under dynamic loading conditions limit the use of analytic models for soft robot control. Traditional methods of controlling soft robots underutilize their configuration spaces to avoid nonlinea

Cited by 1SourceScholar
2018

A Soft Three-Axis Load Cell Using Liquid-Filled Three-Dimensional Microchannels in a Highly Deformable Elastomer

RA-L 2018

The advances in soft robotics have increased the need of soft sensors in various applications involved with physical interactions between humans and robots. In this letter, we propose a soft multiaxis force sensor made of multimaterial elastomer layers and embedded microfluidic channels that are sen

Cited by 19SourceScholar
2018

Use of Deep Learning for Characterization of Microfluidic Soft Sensors

RA-L 2018

Soft sensors made of highly deformable materials are one of the enabling technologies to various soft robotic systems, such as soft mobile robots, soft wearable robots, and soft grippers. However, major drawbacks of soft sensors compared with traditional sensors are their nonlinearity and hysteresis

Cited by 97SourceScholar