Responsibilities
Chair of Cognitive Systems, Institute for Cognitive Systems (ICS), TUM Department of Electrical and Computer Engineering
Contact
Technische Universität München
Karlstrasse 45/II
D-80333 Munich
Phone:
+49 (0)89 / 289-26800
Email:
gordon.cheng@ieee.org
Website:
https://www.ei.tum.de/ics/people/cheng/
Website:
http://www.ei.tum.de/ics
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).