Optimal Design Approaches of Bioinspired Robots

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue, entitled "Optimal Design Approaches of Bioinspired Robots," in the journal Biomimetics. Bioinspired robotics has emerged as a fascinating and rapidly growing field that draws inspiration from nature to develop innovative and efficient robotic systems. By studying and mimicking the remarkable abilities of biological systems, researchers aim to create robots with enhanced performance, adaptability, and resilience. This research area holds immense potential for advancing robotic technologies and developing solutions to complex challenges in various domains, such as healthcare, environmental monitoring, search and rescue, and space exploration.

This Special Issue aims to showcase the latest advances and trends in the optimal design approaches for bioinspired robots. We seek to compile a collection of high-quality research articles that explore novel design principles, materials, control systems, and optimization techniques inspired by biological systems. The scope of this Special Issue aligns well with the journal's focus on cutting-edge research in robotics, biomimetics, and intelligent systems. By bringing together a diverse range of contributions from experts in the field, we aim to provide a comprehensive overview of the current state of the art and future directions in bioinspired robot design.

Original research articles and reviews are welcome for this Special Issue. Research areas may include, but are not limited to, the following:

• Bioinspired design principles and methodologies for robots;
• Optimal design of bioinspired sensors, actuators, and control systems;
• Bioinspired materials and structures for soft robotics;
• Evolutionary algorithms and swarm intelligence for robot optimization;
• Bioinspired locomotion and manipulation strategies;
• Biohybrid systems and bioinspired human–robot interaction;
• Bioinspired energy harvesting and self-healing mechanisms;
• Applications of bioinspired robots in healthcare, environmental monitoring, and exploration;
• Bioinspired artificial intelligence and machine learning for robot control and perception;
• Bioinspired optimization techniques for robot design and performance enhancement.

We look forward to receiving your contributions to this Special Issue and working together to advance the field of bioinspired robotics.

Dr. Guoniu Zhu
Dr. Yi Fang
Dr. Yang Yang
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.

• bioinspired robotics
• biomimetic design
• biologically inspired materials
• bioinspired control systems
• soft robotics
• artificial muscles
• compliant mechanisms
• swarm intelligence