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Biomimetics
Special Issues
Biomimetic Innovations for Human-Machine Interaction: 2nd Edition
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Biomimetic Innovations for Human-Machine Interaction: 2nd Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biomimetic Design, Constructions and Devices".

Deadline for manuscript submissions: 15 October 2026 | Viewed by 483

Special Issue Editor

Dr. Hang Su

E-Mail Website
Guest Editor
IBISC Laboratory, Paris-Saclay University, Paris, France
Interests: robotics; human-robot interaction; deep learning; bilateral teleoperation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The biomimetic paradigm is shaping a pivotal revolution in human–machine interaction, especially when intersected with advanced disciplines such as robotics, mechatronics, and cyborg intelligence.

This Special Issue primarily focuses on the biomimetic aspects driving innovations in human–machine interaction. It explores how natural systems inspire advanced modeling, sensory perception, adaptive control, and decision-making mechanisms in robotics and mechatronics. Furthermore, it will delve into how these biomimetic principles can increase the adaptiveness and autonomy of systems, including those in the realm of cyborg intelligence.

Potential topics include, but are not limited to, the following:

  • Biomimetic sensors;
  • Perception systems in robotics and mechatronics;
  • AI algorithms inspired by natural cognitive processes in cyborg intelligence;
  • Biomimetic multimodal interactive interfaces;
  • Biomimetic control algorithms for adaptive and autonomous systems;
  • Data-driven biomimetic models in kinematics and dynamics;
  • Ethical considerations in biomimetic human–computer interactions and cyborg intelligence;
  • Human-centered biomimetic systems for enhanced adaptability and robustness;
  • VR/AR simulators with biomimetic elements for robotics and mechatronics.

Dr. Hang Su
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • biomimetic aspects
  • human–machine interaction
  • human–computer interaction

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Related Special Issue

Published Papers (1 paper)

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Research

21 pages, 3949 KB  
Article
From Biological Analogs to Robotic Embodiment: A Systematic Biomimetic Translation Framework Mediated by Traditional Craft
by Junbo Li, Fan Wu and Congrong Xiao
Biomimetics 2026, 11(4), 266; https://doi.org/10.3390/biomimetics11040266 - 12 Apr 2026
Viewed by 340
Abstract
This study investigates the effective translation of complex biological principles into viable engineering solutions within the field of biomimetic design. A critical challenge in current research is the “fuzzy front end” bridging initial biological observations and practical engineering applications. This gap primarily stems [...] Read more.
This study investigates the effective translation of complex biological principles into viable engineering solutions within the field of biomimetic design. A critical challenge in current research is the “fuzzy front end” bridging initial biological observations and practical engineering applications. This gap primarily stems from the lack of intermediary models capable of abstracting complex biomechanical data into manufacturable mechanical paradigms. To address this, we propose a systematic biomimetic translation framework that redefines traditional crafts as “Empirically Optimized Biological Analogues” (EOBAs), serving as a logical bridge between biological inspiration and engineering realization. This study contributes by integrating the Analytic Hierarchy Process (AHP) with the Fuzzy Comprehensive Evaluation (FCE) method to construct a quantitative assessment system. This system evaluates translation feasibility, engineering innovation potential, semantic interaction characteristics, and prototype manufacturability. Applying this framework to four intangible cultural heritages in Guangdong, combined with comprehensive expert and public evaluations, revealed that the Guangdong Lion Dance exhibits the highest biomimetic translation potential in terms of morphological clarity and dynamic behavioral characteristics. Consequently, we extracted the core principle of “embodied kinematics for communication” and developed a conceptual multi-segment biomimetic robotic prototype designated as “Kine-Lion”. Ultimately, this research provides a structured methodological reference for biomimetic robotic design, demonstrating that culturally abstracted biological behaviors can be systematically decoded into functional robotic structures. These findings indicate broad application prospects in the domains of human–robot interaction and biomimetic engineering. Full article
(This article belongs to the Special Issue Biomimetic Innovations for Human-Machine Interaction: 2nd Edition)
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