Bioinspired Intelligent Robotics and Control

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Bioengineering Technology".

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 487

Special Issue Editors


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Guest Editor
Locomotion Laboratory, Institute of Sport Science, Technische Universitat Darmstadt, 64289 Darmstadt, Germany
Interests: bipedal robots design and control; hybrid robot actuators; biomechanics; human gait analyses; assistive devices; exosuits

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Guest Editor
Embodied AI and Neurorobotics Laboratory, SDU Biorobotics, The Maersk Mc-Kinney Moller Institute, The University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
Interests: biomechanics; exoskeletons; human-machine interaction; service/inspection robots; embodied AI
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Special Issue Information

Dear Colleagues,

In the growing market of robots replicating human behavior, bioinspired robots with a simplified design and control have seen significant advancements in the field of robotics and human–robot interactions. In that respect, robot intelligence can be redefined concerning a perfect matching of mechanics and control. Further, robot control and learning are two key aspects that provide steady performance and adaptation to new conditions or collaborations with other agents (robots or humans). A paradigm shift in the future of robotics from creating robots doing repetitive and specific precision-oriented jobs to intelligent and helpful robots supporting our everyday life is predicted in this context. These robots complementing humans’ capabilities could provide a breakthrough in logistics, healthcare, and automatization of different industries in the near future, which are addressed in the industry 4.0 paradigm. This Special Issue aims to collect high-quality research studies addressing intelligent robotics and control, including but not limited to the following topics:

  • Robot intelligence
  • Bioinspired robots 
  • Human–robot interaction
  • Body intelligence
  • Morphological computation
  • Embedded control
  • Robot learning
  • Humanoids

Dr. Maziar Ahmad Sharbafi
Prof. Dr. Poramate Manoonpong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

There is no accepted submissions to this special issue at this moment.
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