Bio-Inspired, Biomedical, Surgical, Social and AI-Integrated Bio-Mechanical Robotics

Topic Information

Dear Colleagues,

We are thrilled to announce the Topic Issue "Bio-Inspired, Biomedical, Surgical, Social and AI-Integrated Bio-Mechanical Robotics", co-organized with the 17th International Conference on Social Robotics + BioMed (ICSR + BioMed). This initiative converges biological inspiration, clinical innovation, AI, and robotics to address the fragmented nature of advancements in these fields, such as decoding the complex interplay of plant-emitted volatile compounds (VOCs) and their effects on human health. Just as forests harbor unseen synergies between ecology and wellness, bio-mechanical robotics holds untapped potential at the intersection of bioinspired design (e.g., skeletal mimicry), AI-driven diagnostics, surgical precision, and social robotics for aging populations.

While AI and bioinspired technologies have shown promise in isolation—such as AI-enhancing medical imaging or soft robots mimicking tissue elasticity—their integration remains underexplored, akin to understanding only part of a forest’s ecosystem. This Topic seeks to bridge these domains, focusing on how cross-disciplinary collaboration can unlock the "real potential" of bio-related robots: systems that adapt to biological dynamics, enhance human–robot interaction in healthcare, and address societal challenges like aging populations or disability support.

In an era of global healthcare challenges, this initiative aims to position bio-mechanical robotics as a holistic solution, such as forest bathing evolved from tradition to science. We envision contributions that inspire new paradigms, such as "robo-therapies" prescribed for rehabilitation or AI-bioinspired systems that mimic biological healing processes. By uniting diverse perspectives, we seek to create technologies that are not only innovative but also human-centric—adaptive, ethical, and accessible to all.

Join us in shaping this frontier. Submissions are welcome from analytical methods, biomolecular interactions, or AI-bioinspired designs, with a focus on solutions that resonate across labs, clinics, and communities. Together, we will decode the language of bio-mechanical robotics to nurture a future where technology and humanity thrive in harmony.

Prof. Dr. Yanen Wang
Prof. Dr. Chenguang Yang
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Biomimetics biomimetics	3.9	4.2	2016	19.5 Days	CHF 2200	Submit
Electronics electronics	2.6	6.1	2012	16.4 Days	CHF 2400	Submit
Gels gels	5.3	7.6	2015	10.8 Days	CHF 2100	Submit
Robotics robotics	3.3	7.7	2012	21 Days	CHF 1800	Submit
Technologies technologies	3.6	8.5	2013	21.1 Days	CHF 1600	Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers