Papers
29
Total Citations
205
H-Index
9
About
Xiaopeng Chen is a leading researcher in the fields of robotic table tennis, humanoid robotics, and active vision systems. His most impactful work centers on enabling robots to perceive, predict, and interact with fast-moving objects in dynamic environments. Chen’s seminal 2010 paper on ball trajectory prediction, with 36 citations, introduced a novel method combining dynamic models for flight and bouncing, laying the foundation for high-speed robotic ping-pong. He further advanced this with a nonlinear bouncing model (15 citations) that accounts for ball spin, and a high-speed four-camera vision system (8 citations) for precise trajectory perception. Beyond table tennis, Chen has made significant contributions to robotic bionic eyes, including an integrated two-pose calibration method (16 citations) and eye-gaze-based 3D triangulation (11 citations), enabling active binocular vision systems to perform online stereo reconstruction. His work also extends to space robotics, with a humanoid robot design featuring a vision-based self-calibration system (14 citations), and to manipulator kinematics for humanoid arms. With over 130 total citations across these key works, Chen’s research has profoundly impacted the development of agile, perceptive robots capable of operating in complex, real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1Dynamic model based ball trajectory prediction for a robot ping-pong player36 citations · 2010
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- 5Eye Gaze Based 3D Triangulation for Robotic Bionic Eyes11 citations · 2020
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