Cheng Tang

Shenzhen Institutes of Advanced Technology, Tokyo Metropolitan University

Papers

Total Citations

H-Index

About

Cheng Tang is a robotics researcher whose work centers on humanoid robot control, human-robot interaction, and autonomous mobile systems. His most impactful contribution, "A real-time human imitation system" (2012, 34 citations), addresses the challenge of teaching complex humanoid robots natural, human-like behaviors by overcoming the high degree of freedom in human motion. This work provides a foundational framework for intuitive robot programming, enabling robots to learn through demonstration rather than explicit code. Tang also explores bipedal locomotion in "Gait planning of biped robot based on feed-forward compensation of gravity moment" (2015, 2 citations), where he improves walking stability by compensating for lateral imbalance using a three-dimensional linear inverted pendulum model. More recently, he has applied autonomous mobile robots to practical industrial tasks, such as automating illuminance measurement in large scenes (2020, 2 citations), addressing labor shortages in Japan’s aging society. While his citation counts are modest, Tang’s research bridges fundamental robotics control theory with real-world deployment, offering valuable insights for students interested in humanoid imitation learning, gait stability, and service robotics.