Kuu‐Young Young
National Yang Ming Chiao Tung University, Northwestern University
Papers
45
Total Citations
472
H-Index
12
About
Kuu-Young Young is a leading researcher in assistive robotics and intelligent control systems, with a career dedicated to enhancing human-robot interaction for mobility and rehabilitation. His most impactful work centers on walk-assist robots designed for the elderly, where he pioneered a dual-mode control strategy combining passive and active guidance to ensure user safety and intuitive maneuverability. With 50 citations, his 2012 paper on outdoor guidance established a foundation for human-friendly robotic walkers, while his subsequent 2015 study on intention-based maneuvering (23 citations) refined how these robots interpret and follow user commands. Young also advanced navigation control, developing an interval type-2 fuzzy controller optimized by dynamic-group particle swarm optimization (43 citations), and explored VR-based teleoperation for compliance tasks (33 citations). His contributions extend to EMG-based control systems, where adaptive neural fuzzy inference and empirical mode decomposition enable upper-limb motion governance (21 citations). Early in his career, he tackled fundamental challenges in robot compliance and impact control, integrating reinforcement learning and bio-inspired reflex schemes (21 and 17 citations). Through his work on calibration models and braking controllers, Young has consistently prioritized safety and adaptability, making him a key figure in the development of intelligent, human-centric robotic systems for aging populations.
Research Focus
Key Achievements
Top Papers
- 1Active and Passive Control of Walk-Assist Robot for Outdoor Guidance50 citations · 2012
- 2
- 3VR-Based Teleoperation for Robot Compliance Control33 citations · 2001
- 4Effective Maneuver for Passive Robot Walking Helper Based on User Intention23 citations · 2015
- 5An adaptive upper-arm EMG-based robot control system21 citations · 2010
- 6Reinforcement Learning and Robust Control for Robot Compliance Tasks21 citations · 1998
- 7
- 8An impact control scheme inspired by human reflex17 citations · 1996
- 9
- 10