Chan-Yong Park

Papers

Total Citations

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About

Chan-Yong Park is a robotics researcher whose work spans soft actuation and legged locomotion, with a focus on creating more capable and perceptive robotic systems. His key research areas include soft robotics, proprioceptive sensing, and robot navigation in complex environments. Park’s most significant contribution is the development of a soft artificial muscle with integrated proprioceptive feedback, published in 2022. This work addresses a critical limitation of twisted-coiled polymer actuators (TCAs)—their lack of inherent sensing—by designing a system that can both actuate and sense its own state, eliminating the need for bulky external encoders. This innovation, which has garnered 18 citations, promises to advance the application of soft robots in tasks requiring both compliance and precise control. In earlier work, Park developed a plane-based mapping method for legged robots navigating stairways, using weighted sensor measurements to estimate each step’s geometry. This contribution, with 4 citations, enhances the autonomy of legged robots in structured human environments. Through these efforts, Park is helping to bridge the gap between soft, safe actuation and the robust perception needed for real-world deployment.