Gordon Cheng
Fraunhofer Institute for Cognitive Systems, Japan Science and Technology Agency, RIKEN Center for Computational Science, Kyoto Seika University, Technical University of Munich, Advanced Telecommunications Research Institute International, Oxford Centre for Computational Neuroscience, Supply Chain Competence Center (Germany), Australian National University, Research Organization of Information and Systems, Chemnitz University of Technology, Institut des Sciences Cognitives, Munich University of Applied Sciences, University of Southern California, École Polytechnique Fédérale de Lausanne, Institut Lavoisier de Versailles, Ludwig-Maximilians-Universität München, University of Tsukuba, University of Bremen, National Institute of Information and Communications Technology
Papers
241
Total Citations
9,199
H-Index
49
About
Gordon Cheng is a pioneering roboticist and neuroscientist whose work sits at the fascinating intersection of humanoid robotics, brain-machine interfaces, and artificial sensory systems. Best known for developing sophisticated robotic skin technologies, Cheng has dedicated his career to engineering robots that can perceive and interact with the physical world in fundamentally human-like ways. His landmark 2016 study on brain-machine interface-based gait training demonstrated, for the first time, that long-term BMI protocols could induce partial neurological recovery in chronic paraplegic patients — a groundbreaking finding that garnered over 430 citations and reshaped thinking in neurorehabilitation. His extensive contributions to tactile sensing, including the development of the HEX-O-SKIN multimodal sensing modules and comprehensive robot skin architectures, have become foundational references in the field, collectively accumulating hundreds of citations. Beyond hardware, Cheng has made significant strides in humanoid locomotion learning and human-robot physical interaction, developing compliant control frameworks that enable robots to balance dynamically alongside humans. His interdisciplinary CB humanoid platform further underscores his commitment to using robotics as a lens for understanding human neuroscience. Across more than a decade of highly cited research, Cheng has established himself as a defining voice in embodied intelligence and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Directions Toward Effective Utilization of Tactile Skin: A Review413 citations · 2013
- 3Learning from demonstration and adaptation of biped locomotion400 citations · 2004
- 4
- 5Humanoid Multimodal Tactile-Sensing Modules306 citations · 2011
- 6CB: a humanoid research platform for exploring neuroscience215 citations · 2007
- 7
- 8
- 9Embodied artificial agents for understanding human social cognition190 citations · 2016
- 10New materials and advances in making electronic skin for interactive robots181 citations · 2015