Biomimetic Robot Motion Control

Dear Colleagues,

Biomimetic robots—robots designed to imitate the motion capabilities of animals, insects, and even plants—are gaining increasing attention due to their ability to navigate in unstructured, dynamic environments where traditional robots often struggle. Using bio-inspired algorithms, actuation systems, and control strategies, these robots can adapt to various terrains, demonstrate agility, and perform complex tasks such as manipulation, exploration, and monitoring.

The field of biomimetic robot motion control holds immense promise for advancing robotics technologies across a range of industries. By learning from the natural world, researchers are developing robots that are not only more capable and efficient but also more adaptable and intelligent. The field of biomimetic robot motion control has seen tremendous growth in recent years as we continue to strive for more adaptive, efficient, and autonomous robots that can interact with complex environments. The emulation of biological systems to inspire robot movement presents exciting possibilities for achieving highly sophisticated, efficient, and versatile motion capabilities. We are pleased to invite you to contribute to this Special Issue, entitled "Biomimetic Robot Motion Control", in the journal of Biomimetics. This Special Issue invites contributions that explore cutting-edge advancements in biomimetic robot motion control, emphasizing the seamless integration of biological principles into robotic systems. We seek original research, review articles, and case studies that explore innovative concepts, methodologies, and technologies in the design, control, and application of biomimetic robots.

We invite papers that address, but are not limited to, the following areas:

1. Biomimetic motion control strategies;
2. Biomimetic actuation mechanisms;
3. Bio-inspired sensor integration and perception;
4. Machine learning and AI for biomimetic robotics;
5. Energy efficiency and sustainability in biomimetic robot control;
6. Biomimetic robot control in complex and extreme environments;
7. Biohybrid robots and bio-inspired materials;
8. Multi-modal and hybrid locomotion systems;
9. Experimental and simulation methods for biomimetic robots;
10. Biomimetic robotics for real-world applications.

We encourage the submission of real-world applications of biomimetic robots in fields such as environmental monitoring, industrial inspection, medical robotics, search and rescue, and space exploration. Case studies that demonstrate the effectiveness and advantages of bioinspired robots in practical applications will provide valuable insights into their potential and future impact.

We look forward to your contributions to this Special Issue, and to the continued growth and success of biomimetic robot motion control research.

Dr. Tao Zhang
Prof. Dr. Kun Xu
Dr. Ehsan Asadi
Dr. Shuaizhong Zhang
Dr. Haifei Zhu
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.

• bio-inspired motion control
• AI and machine learning in bio-inspired robotics
• bio-inspired control algrithms and strategies
• bio-inspired sensing and feedback control
• bio-inspired actuation