Bio-Inspired and Biomimetic Intelligence in Robotics: 2nd Edition

Dear Colleagues,

Robotics is a multidisciplinary research field that demonstrates enormous potential. It concerns developing intelligent robotic systems that are capable of making decisions and acting autonomously in real and dynamic environments to accomplish tasks and assist humans in the betterment of society. Recently, advances in the computational study of intelligent behaviors such as learning and adaptation have led to powerful insights about the nature of learning in both humans, animals, materials, and machines. However, new and challenging theoretical and technological problems are being posed. One can apply the computational metaphor in different ways, and computational learning has become an important topic within many paradigms, including artificial intelligence, pattern recognition, control theory, cognitive intelligence, behavioral intelligence, and statistics. Such a convergence of interests is encouraging, but few researchers in this active area communicate across disciplinary boundaries and even fewer are skilled in the ‘language’ and techniques of more than one approach. With this new era of computational learning for robotics, further research is needed to advance the field and to evaluate multidisciplinary concerns regarding learning and adaptation techniques.

The aim of this Special Issue is to highlight the roles of advanced bio-inspired and biomimetic intelligence for robotics applications and prior knowledge in achieving successes, especially how they contribute to taming the complexity of related domains. This includes but is not limited to the following topics:

• Behavioral and biological learning and control;
• Computational neuroscience;
• Cognitive robotics and computation;
• Evolutionary robotics, multi-robot systems, and swarm intelligence;
• Computational modeling of biological systems;
• Biomechanics, biomechatronics, and bioengineering;
• Smart materials;
• Soft robotics and sensing;
• Human‒robot interaction and collaboration;
• Bio-inspired approaches for robot design, control, and optimization;
• Morphological computation and embodied intelligence;
• Bio-inspired spiking neural networks;
• Bio-inspired vision systems;
• Imitation learning, Bayesian/probabilistic learning;
• Bio-inspired legged robotics;
• Bio-inspired/biomimetic underwater robotics;
• Micro- and Nano-robotics;
• Healthcare and rehabilitation;
• Flexible electronics and piezoelectric actuators.

Dr. Pengcheng Liu
Dr. Qinbing Fu
Dr. Tiong Hoo Lim
Guest Editors

Manuscript Submission Information

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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.

• biological inspiration
• biomimetics
• computational learning
• robotics

• Bio-Inspired and Biomimetic Intelligence in Robotics in Biomimetics (8 articles)