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From Biological Analogs to Robotic Embodiment: A Systematic Biomimetic Translation Framework Mediated by Traditional
Junbo Li1, Fan Wu2, Congrong Xiao1,3
1College of Art and Design, Guangdong Baiyun University, Guangzhou 510900, China.
Biomimetics (Basel, Switzerland)
|April 27, 2026
Summary
This study introduces a biomimetic translation framework using traditional crafts to bridge biology and engineering. The Guangdong Lion Dance was identified as a prime example for developing novel robotic designs.
Area of Science:
- Biomimetic Engineering
- Robotics
- Cultural Heritage Analysis
Background:
- A significant gap exists between biological observations and engineering applications in biomimetic design.
- Lack of intermediary models hinders the translation of complex biomechanical data into manufacturable mechanical paradigms.
Purpose of the Study:
- To propose a systematic biomimetic translation framework using traditional crafts as Empirically Optimized Biological Analogues (EOBAs).
- To develop a quantitative assessment system for evaluating biomimetic translation feasibility and innovation potential.
- To demonstrate the framework's application in decoding cultural behaviors for robotic design.
Main Methods:
- Integration of Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) for quantitative assessment.
- Evaluation of translation feasibility, innovation potential, semantic interaction, and manufacturability.
- Application to four intangible cultural heritages in Guangdong, including expert and public evaluations.
Main Results:
- The Guangdong Lion Dance showed the highest biomimetic translation potential due to its clear morphology and dynamic behaviors.
- The core principle of "embodied kinematics for communication" was extracted.
- A conceptual multi-segment biomimetic robotic prototype, "Kine-Lion", was developed.
Conclusions:
- Culturally abstracted biological behaviors can be systematically decoded into functional robotic structures.
- The proposed framework offers a methodological reference for biomimetic robotic design.
- Findings suggest broad applications in human-robot interaction and biomimetic engineering.
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