Justifying bio-inspired robotics research: A taxonomy of strategies
Margaret J. Zhang, Justin Ting, Talia Y. Moore

TL;DR
This paper proposes a taxonomy of motivations for bio-inspired design in robotics to help justify approaches and evaluate their potential contributions systematically.
Contribution
It introduces a systematic taxonomy of motivations for bio-inspired robotics, addressing inconsistencies and aiding justification and evaluation of design strategies.
Findings
Developed a taxonomy of bio-inspired design motivations
Clarified how different motivations lead to specific contributions
Aimed to improve justification and assessment in bio-inspired robotics
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
