Pei-Jui Wang
Papers
1
Total Citations
43
H-Index
1
About
Pei-Jui Wang is a researcher specializing in humanoid robotics, with a particular focus on motion imitation, image recognition, and force measurement. Their most-cited work, "Image Recognition and Force Measurement Application in the Humanoid Robot Imitation" (2011, 43 citations), presents a comprehensive framework for enabling a humanoid robot to replicate human movements. This study outlines three critical processes: human motion data acquisition, motion data modification, and ankle angle adjustment, which together allow for stable and accurate imitation. Wang’s contributions lie in bridging computer vision and tactile sensing to enhance robot adaptability in real-world interactions. By integrating image recognition with force feedback, their research addresses key challenges in bipedal locomotion and human-robot collaboration. Although their citation count is modest, the work has been influential in foundational robotics, particularly for researchers exploring low-cost, vision-based imitation systems. Wang’s achievements underscore a practical, systems-level approach to robotics, offering valuable insights for students and engineers aiming to develop more intuitive and responsive humanoid platforms.
Research Focus
Key Achievements
Top Papers
- 1