Papers
13
Total Citations
83
H-Index
6
About
Yeping Wang is a robotics researcher whose work spans human-robot interaction, robot motion generation, teleoperation, and compliant actuator design. His research addresses some of the most pressing challenges in making robots genuinely useful partners for humans — from how users demonstrate tasks to robots, to how operators control them remotely with clarity and precision. Wang's contributions to teleoperation are particularly notable. His work on first-person demonstration ("See What I See") introduced an intuitive head-mounted camera approach for capturing task knowledge, while his Periscope system and studies on multi-camera control frames have advanced how remote collaborators share physical workspaces. On the motion planning side, his RangedIK framework and IKLink trajectory tracking method offer practical, real-time solutions to the complex kinematic constraints robots face during operation. His earlier hardware work on corrugated torsional springs for Series Elastic Actuators reflects a grounding in physical human-robot safety, ensuring compliant, force-sensitive robot joints. More recently, his Motion Comparator tool and proximity sensor transient histogram methods demonstrate a commitment to both robot perception and developer-facing visualization tools. With citations accumulating steadily across diverse robotics subfields, Wang's research profile reflects a versatile, systems-minded approach to building robots that work safely and intuitively alongside people.
Research Focus
Key Achievements
Top Papers
- 1See What I See12 citations · 2020
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- 6Understanding Control Frames in Multi-Camera Robot Telemanipulation6 citations · 2022
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- 8A Design Space of Control Coordinate Systems in Telemanipulation5 citations · 2024
- 9IKLink: End-Effector Trajectory Tracking with Minimal Reconfigurations4 citations · 2024
- 10<i>Motion Comparator:</i> Visual Comparison of Robot Motions3 citations · 2024