Cheng-Wei Tung
Papers
2
Total Citations
50
H-Index
2
About
Cheng-Wei Tung is a robotics researcher whose work centers on humanoid robot control, motion imitation, and kinematic modeling. His most influential contribution, "Image Recognition and Force Measurement Application in the Humanoid Robot Imitation" (2011, 43 citations), pioneers a three-stage framework for enabling humanoid robots to replicate human motion—encompassing motion data acquisition, modification, and ankle angle adjustment. This work integrates computer vision and force sensing to achieve stable, natural imitation, laying groundwork for intuitive human-robot interaction. Tung also addresses the notoriously complex inverse kinematics problem for humanoid robot fingers in his 2011 paper (7 citations), where he introduces an algebraic-elimination method to solve for joint angles in nonlinearly coupled systems. This approach offers computational efficiency and analytical precision, advancing dexterous manipulation in humanoid hands. While his citation counts reflect focused, early-career impact, Tung’s contributions are notable for bridging practical sensing with theoretical kinematics—a dual emphasis that supports both locomotion and fine motor control in humanoid platforms. His work remains relevant for researchers exploring motion planning, teleoperation, and biomimetic robot design.
Research Focus
Key Achievements
Top Papers
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