Literature DB >> 23186343

Toward anthropomimetic robotics: development, simulation, and control of a musculoskeletal torso.

Steffen Wittmeier1, Cristiano Alessandro, Nenad Bascarevic, Konstantinos Dalamagkidis, David Devereux, Alan Diamond, Michael Jäntsch, Kosta Jovanovic, Rob Knight, Hugo Gravato Marques, Predrag Milosavljevic, Bhargav Mitra, Bratislav Svetozarevic, Veljko Potkonjak, Rolf Pfeifer, Alois Knoll, Owen Holland.   

Abstract

Anthropomimetic robotics differs from conventional approaches by capitalizing on the replication of the inner structures of the human body, such as muscles, tendons, bones, and joints. Here we present our results of more than three years of research in constructing, simulating, and, most importantly, controlling anthropomimetic robots. We manufactured four physical torsos, each more complex than its predecessor, and developed the tools required to simulate their behavior. Furthermore, six different control approaches, inspired by classical control theory, machine learning, and neuroscience, were developed and evaluated via these simulations or in small-scale setups. While the obtained results are encouraging, we are aware that we have barely exploited the potential of the anthropomimetic design so far. But, with the tools developed, we are confident that this novel approach will contribute to our understanding of morphological computation and human motor control in the future.

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Year:  2012        PMID: 23186343     DOI: 10.1162/ARTL_a_00088

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  3 in total

Review 1.  Soft Robotics: New Perspectives for Robot Bodyware and Control.

Authors:  Cecilia Laschi; Matteo Cianchetti
Journal:  Front Bioeng Biotechnol       Date:  2014-01-30

2.  Editorial: Human-Like Advances in Robotics: Motion, Actuation, Sensing, Cognition and Control.

Authors:  Kosta Jovanović; Tadej Petrič; Toshiaki Tsuji; Calogero Maria Oddo
Journal:  Front Neurorobot       Date:  2019-10-16       Impact factor: 2.650

3.  The GummiArm Project: A Replicable and Variable-Stiffness Robot Arm for Experiments on Embodied AI.

Authors:  Martin F Stoelen; Ricardo de Azambuja; Beatriz López Rodríguez; Fabio Bonsignorio; Angelo Cangelosi
Journal:  Front Neurorobot       Date:  2022-03-11       Impact factor: 2.650

  3 in total

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