Papers
17
Total Citations
510
H-Index
10
About
Joon-Young Kim is a robotics and control systems researcher whose work spans industrial robot motion planning, flexible joint control, and assistive robotics. His most influential contribution, "Full-State Tracking Control for Flexible Joint Robots With Singular Perturbation Techniques" (2017, 118 citations), introduced a practical multivariable control framework for elastic-joint industrial robots that elegantly sidesteps the need for high-order state derivatives—a significant practical advance over prior methods. Complementing this, his two-time scale control work (2017, 45 citations) rigorously addressed fundamental limitations in conventional flexible joint control using singular perturbation analysis. Kim has made sustained contributions to time-optimal and near-time-optimal trajectory planning for industrial robots, with papers from 2010 and 2019 collectively accumulating over 130 citations, reflecting the enduring industrial relevance of this research thread. His vibration suppression work through input trajectory preshaping further demonstrates his focus on real-world robot performance. Beyond industrial robotics, Kim has explored meaningful humanitarian applications, including FES-assisted arm-free standing for paraplegics and optimal lower-limb actuation strategies, work that bridges biomechanics and rehabilitation engineering. More recently, he has extended his expertise into collaborative robotics and compliant manipulation, including sensorless collision detection and robotic massage systems—reflecting a career defined by both theoretical rigor and applied impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2Online near time-optimal trajectory planning for industrial robots71 citations · 2019
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- 4Preshaping input trajectories of industrial robots for vibration suppression58 citations · 2018
- 5Two-Time Scale Control of Flexible Joint Robots With an Improved Slow Model45 citations · 2017
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