为仿生机器人研究提供动机分类框架，提升设计合理性与评估标准
Justifying bio-inspired robotics research: A taxonomy of strategies
- 提出仿生设计的动机分类体系，系统梳理研究初衷
- 明确不同动机对应的设计价值与潜在贡献，增强可预测性
- 帮助科研人员和资助方识别真正有价值的仿生研究方向
人类历史上长期缺乏对自然元素融入设计方式与原因的系统思考。这种缺失导致仿生设计在动机和方法上不一致，难以预测或评估其成功，常引发读者对设计表面化、薄弱或不完整的感觉。这一问题在机器人领域尤为突出，因外观相似性常成为设计的主要驱动力。为此，本文提出一种仿生设计动机的分类体系，旨在帮助机器人研究人员阐明其仿生方法的合理性，并协助资助机构辨别不同仿生路径的价值与潜在贡献。
原文摘要 · Abstract (English)
For most of human history, we have not thought systematically about how and why we incorporate aspects of the natural world into our designs. The lack of a systematic approach has resulted in inconsistencies in motivations and methods that make it difficult to predict or evaluate the success of bio-inspired design. This mismatch between expectations and results can lead to disappointment when a reader considers a bio-inspired design to be superficial, weak, or incomplete. This is especially true in the field of Robotics, in which similarity to a biological system might be the driving motivation for construction. In an effort to assist robotics researchers justify their specific bio-inspired approach and to assist funding program managers with discerning the value of different bio-inspired approaches, here we propose a taxonomy of motivations for bio-inspired design and describe the potential significant contributions that are likely to result from different approaches.
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