Graduate School of Systemic Neurosciences GSN-LMU

Links and Functions

Breadcrumb Navigation

Gordon Cheng

Prof. Dr. Gordon Cheng

Regular member MCN, GSN associate faculty


Chair of Cognitive Systems, Institute for Cognitive Systems (ICS), TUM Department of Electrical and Computer Engineering


Institute for Cognitive Systems
Technische Universität München
Karlstrasse 45/II
D-80333 Munich

Phone: +49 (0)89 / 289-26800


Further Information

Research focus: Neurorobotics, Humanoid Robotics, Imitation Learning, Cognitive Systems, Neuroengineering

Key words: Cognition, technical systems, robot companions, robotic systems, mechanisms of human motor skill, information processing, computational brain modeling

Selected publications:

G. Cheng, E. Dean-Leon, F. Bergner, J. Rogelio Guadarrama Olvera, Q. Leboutet and P. Mittendorfer, "A Comprehensive Realization of Robot Skin: Sensors, Sensing, Control, and Applications". Proceedings of the IEEE. (2019).

Cheng G, Ramirez-Amaro K, Beetz M, Kuniyoshi Y: ”Purposive learning: Robot reasoning about the meanings of human activities”. Science Robotics. 2019; 4(29): eaav1530.

Ehrlich SK, Cheng G: “Human-agent co-adaptation using error-related potentials”. Journal of Neural Engineering. 2018; 15(6).

Zied Tayeb, Rohit Bose, Andrei Dragomir, Luke E. Osborn, Nitish V. Thakor and Gordon Cheng: Decoding of Pain Perception using EEG Signals for a Real-Time Reflex System in Prostheses: A Case Study. Nature Scientific Reports 10,No1 , 2020, 5606

Donati ARC, Shokur S, Morya E, Campos DSF, Moioli RC, Gitti CM, Augusto PB, Tripodi S, Pires CG, Pereira GA, Brasil FL, Gallo S, Lin AA, Takigami AK, Aratanha MA, Joshi S, Bleuler H, Cheng G, Rudolph A, Nicolelis MAL: “Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients”. Nature Scientific Reports. 2016; 6 (Article number: 30383).