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Title:

Musculoskeletal Robots: Scalability in Neural Control

Document type:
Zeitschriftenaufsatz
Author(s):
Richter, C.; Jentzsch, S.; Hostettler, R.; Garrido, J.; Ros, E.; Knoll, A. C.; Röhrbein, F.; van der Smagt, P.; Conradt, J.
Abstract:
Anthropomimetic robots are robots that sense, behave, interact and feel like humans. By this definition, anthropomimetic robots require human-like physical hardware and actuation, but also brain-like control and sensing. The most self-evident realization to meet those requirements would be a human-like musculoskeletal robot with a brain-like neural controller. While both musculoskeletal robotic hardware and neural control software have existed for decades, a scalable approach that could be used...     »
Keywords:
Computer Science - Robotics, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Neural and Evolutionary Computing, Computer Science - Systems and Control
Journal title:
IEEE Robotics & Automation Magazine
Year:
2016
Year / month:
2016-08
Quarter:
3. Quartal
Month:
Aug
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/MRA.2016.2535081
Print-ISSN:
1070-9932
Accepted:
31.12.2015
Date of publication:
26.08.2016
Semester:
SS 16
TUM Institution:
Juniorprofessur für Neurowissenschaftliche Systemtheorie
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