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Gordon Cheng

Prof. Dr. Gordon Cheng

Regular member MCN, GSN full faculty

Responsibilities

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

Contact

TUM Institute for Cognitive Systems
School of Computation, Information and Technology (CIT)

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

Website: http://www.ics.ei.tum.de/cheng

Further Information

Keywords: Neurengineering, Robotics, NeuroRobotics, Cognitive Systems

Brief research description: The Institute for Cognitive Systems deals with the fundamental understanding and creation of cognitive systems.

Supervision of current or graduated GSN PhD students: Jasmin Kajopoulos, Nikolas Berberich

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).