Continuum Robots: From Conventional to Customized Performance Indicators.

Biomimetics (Basel)

Department GMSC, Pprime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346 Poitiers, France.

Published: April 2023

AI Article Synopsis

  • Continuum robots differ from rigid-link designs, and traditional performance metrics used for the latter don't appropriately evaluate the unique advantages of continuum robots.
  • These robots excel in complex environments due to their slender shape and flexibility, yet existing metrics often overlook these strengths or classify them as weaknesses.
  • This paper proposes a new framework for assessing continuum robot performance by integrating geometric requirements and bioinspired metrics, illustrated through a numerical example of a swimming snake robot.

Article Abstract

Continuum robots have often been compared with rigid-link designs through conventional performance metrics (e.g., precision and Jacobian-based indicators). However, these metrics were developed to suit rigid-link robots and are tuned to capture specific facets of performance, in which continuum robots do not excel. Furthermore, conventional metrics either fail to capture the key advantages of continuum designs, such as their capability to operate in complex environments thanks to their slender shape and flexibility, or see them as detrimental (e.g., compliance). Previous work has rarely addressed this issue, and never in a systematic way. Therefore, this paper discusses the facets of a continuum robot performance that cannot be characterized by existing indicator and aims at defining a tailored framework of geometrical specifications and kinetostatic indicators. The proposed framework combines the geometric requirements dictated by the target environment and a methodology to obtain bioinspired reference metrics from a biological equivalent of the continuum robot (e.g., a snake, a tentacle, or a trunk). A numerical example is then reported for a swimming snake robot use case.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123637PMC
http://dx.doi.org/10.3390/biomimetics8020147DOI Listing

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