Tesheng Hsiao
Papers
16
Total Citations
165
H-Index
7
About
Tesheng Hsiao is a robotics and control systems researcher whose work spans robot manipulator control, human-robot collaboration, and intelligent motion systems. His research is anchored in developing practical, high-performance control strategies that bridge theoretical rigor with real-world robotic applications. Hsiao has made notable contributions to adaptive admittance control, demonstrated through his most-cited work on safe and intuitive manual robot guidance (2021, 41 citations), which advances the field of compliant human-robot interaction. His investigations into iterative learning control (ILC) for robot manipulators (2017, 31 citations) have helped extend this powerful technique—previously dominant in CNC and semiconductor manufacturing—to the more complex dynamics of robotic arms. His early work on hierarchical fault detection in robotic actuators (2011, 24 citations) reflects a long-standing interest in robust and reliable robot operation. Beyond control theory, Hsiao has tackled challenging applied problems, including real-time ball-batting robots with stereo vision, inverse kinematics using screw theory, lower-limb exoskeleton sensing, and high-speed visual tracking. With a cumulative citation profile approaching 150 citations, his work reflects a sustained and versatile contribution to intelligent robotics, making his research particularly valuable for students and engineers working at the intersection of motion control and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Iterative Learning Control for Trajectory Tracking of Robot Manipulators31 citations · 2017
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- 4Robust Joint Position Feedback Control of Robot Manipulators14 citations · 2013
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