Print Email Facebook Twitter Editorial: Neuromechanics and control of physical behavior: From experimental and computational formulations to bio-inspired technologies Title Editorial: Neuromechanics and control of physical behavior: From experimental and computational formulations to bio-inspired technologies Author Sreenivasa, Manish (University of Wollongong) Valero-Cuevas, Francisco J. (University of Southern California) Tresch, Matthew (Northwestern University; Shirley Ryan AbilityLab, Chicago) Nakamura, Yoshihiko (University of Tokyo) Schouten, A.C. (TU Delft Biomechatronics & Human-Machine Control; University of Twente) Sartori, Massimo (University of Twente) Date 2019 Abstract The motivation behind this research topic was to cut across conventional boundaries that separate movement neuroscience, biomechanics, and robotics. The aim was to underscore that brain and body collaborate to produce behavior in biological organisms. While this is a simple idea, compartmentalization in education and science has often artificially separated brain from body. We also bring forward research paradigms to investigate physical behavior at the interface between humans and interacting robots. Understanding human-robot physical interaction requires the understanding of the complex interplay between brain, body, and the external environment. This could be achieved by employing a neuro-mechanical approach to the study of human and robot movement.Within the context of a neuromechanical approach, we aimed to collate a research corpus that included work on experimental and neurophysiological analysis, computational modeling, and applications in rehabilitation and bio-inspired robotics. The 22 contributions to this research topic provide a wide range of perspectives and methodologies. The high-caliber contributions to this research topic also highlight the existence of a significant community of researchers interested in an interdisciplinary view toward the study of brain-body and human-robot interactions. Subject BioroboticsMotor controlNeural control of movementNeuro-technologiesNeuromechanical modelingSensory-motor system To reference this document use: http://resolver.tudelft.nl/uuid:ccd4fd02-c4a0-49ce-b138-e81c9ac5e159 DOI https://doi.org/10.3389/fncom.2019.00013 ISSN 1662-5188 Source Frontiers in Computational Neuroscience, 13 Part of collection Institutional Repository Document type contribution to periodical Rights © 2019 Manish Sreenivasa, Francisco J. Valero-Cuevas, Matthew Tresch, Yoshihiko Nakamura, A.C. Schouten, Massimo Sartori Files PDF fncom_13_00013.pdf 222.53 KB Close viewer /islandora/object/uuid:ccd4fd02-c4a0-49ce-b138-e81c9ac5e159/datastream/OBJ/view