Chi-Li Chen

National Taipei University of Technology

Papers

Total Citations

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About

Chi-Li Chen is a robotics researcher whose work lies at the intersection of human-robot interaction, imitation learning, and assistive robotics. Chen’s key contributions focus on enabling robots to learn and execute tasks more intuitively, bridging the gap between human demonstration and robotic execution. In their most-cited work, “Evaluation of human-robot arm movement imitation” (2011, 17 citations), Chen tackled the fundamental challenge of robot skill acquisition through imitation, addressing the kinematic discrepancies between human and robot arms—such as differing joint types and degrees of freedom—to allow robots to replicate human movements more faithfully. This work has been foundational for researchers exploring natural programming interfaces for robots. Chen also advanced teleoperation with a hybrid control policy for assistive robots (2011, 8 citations), proposing a semi-autonomous framework that blends human input with robotic autonomy to help elderly users perform household tasks safely. Expanding on this, the “Enhanced Whole-Arm Robot Teleoperation” study (2013, 5 citations) introduced a control policy that mitigates collisions and improves efficiency by incorporating whole-arm pose control. Though Chen’s citation counts are modest, their work represents important steps toward making robots more accessible and effective in real-world assistive applications, particularly for aging populations.