Editorial: Neuromechanics and control of physical behavior: From experimental and computational formulations to bio-inspired technologies

Journal article (2019)

Authors

Manish Sreenivasa University of Wollongong
Francisco J. Valero-Cuevas University of Southern California
Matthew Tresch Shirley Ryan AbilityLab, Chicago, Northwestern University
Yoshihiko Nakamura University of Tokyo
A.C. Schouten Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering , University of Twente
Massimo Sartori University of Twente
Research Group
Biomechatronics & Human-Machine Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2019 Manish Sreenivasa, Francisco J. Valero-Cuevas, Matthew Tresch, Yoshihiko Nakamura, A.C. Schouten, Massimo Sartori
DOI: https://doi.org/10.3389/fncom.2019.00013
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Published Date

2019

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Biomechatronics & Human-Machine Control

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.

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