Biologically Inspired Design and Control of Robots: Third Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Locomotion and Bioinspired Robotics".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 17

Special Issue Editors


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Guest Editor
School of Mechanical Engineering and Automation, Harbin Institute of Technology Shenzhen, Shenzhen, China
Interests: miniature robot; morphing mechanism; mechanism design; metamorphous multirotor
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Guest Editor
Department of Electrical and Biomedical Engineering, University of Nevada Reno, Reno, NV 89557, USA
Interests: biomimic robot design; snake robot control; shape morpihing mechanism
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Special Issue Information

Dear Colleagues,

The design and control of robots based on the biological mechanisms of plants and animals in nature is a key theme in robotics research. As a discipline arising from the fusion of new materials, mechanical design, motor control, and AI algorithms, biomimetics provides unique inspiration in advancing the development of cognitive and collaborative functionalities, as well as improving the dexterous and versatile manipulation capabilities of robots.

The aim of this Special Issue is to collect contributions on the design and control of bionic robots. By covering issues from biomimetic materials to biomimetic mechanical design, brain-inspired robotic cognition-related learning, and bioinspired control, our Special Issue provides an up-to-date overview of the current status quo and future perspectives in the rapidly growing field of bionic robot  design and control. By leveraging the open access format, this collection of papers aims to exemplify the potential of biomimetic approaches to uncover novel research pathways and inspire innovative solutions in the design and control of bionic robots.

To advance its goals of bridging basic research and applications, this Special Issue is organized around two main areas of focus:

  • (a) Design, covering topics such as mechanical design of biomimetic robots; intelligent sensors (e.g., vision, tactile etc.) for perception and exploration; new materials; and industrial applications of biomimetic robotics, including manipulation and robot-assisted surgery.
  • (b) Control, including bioinspired learning and control of robots; intelligent learning methods from a biomimetic perspective; computational neuroscience of perception and action; bionic motion control; advanced multimodal sensory information fusion.

We believe that this initiative will fill an important gap in biomimetic technologies.

Prof. Dr. Peng Li
Prof. Dr. Yantao Shen
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. Biomimetics 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 2200 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.

Keywords

  • mechanical design
  • biomimetic robots
  • intelligent sensors
  • new materials
  • bioinspired robotic learning and control
  • intelligent learning methods
  • computational neuroscience
  • advanced multimodal sensing information fusion

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