Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots
Prior models of continuously flexible robots typically assume uniform stiffness, and in this paper we relax this assumption. Geometrically varying stiffness profiles provide additional design freedom to influence the motions and workspaces of continuum robots. These results are timely, because with recent rapid advancements in multimaterial additive manufacturing techniques, it is now straightforward to create more complex stiffness profiles in robots. The key insight of this paper is to project forces and moments applied to the robot onto its center of stiffness (i.e. the Young's modulus-weighted center of each cross section). We show how the center of stiffness can be thought of as analogous to a "precurved backbone" in a robot with uniform stiffness. This analogy enables a large body of prior work in Cosserat Rod modeling of such robots to be applied directly to those with stiffness variations. We experimentally validate this approach using multimaterial, soft, tendon-actuated robots. Lastly, to illustrate how these results can be used in practice, we investigate how stiffness variation can improve performance in a neurosurgical task.
Authors
- Robert P. Naftel (ORCID: https://orcid.org/0000-0002-4344-503X)
- Daniel S. Esser (ORCID: https://orcid.org/0009-0003-6592-2372)
- Robert J. Webster (ORCID: https://orcid.org/0000-0003-1389-224X)
- Margaret Rox (ORCID: https://orcid.org/0000-0003-4271-9139)
- Eric J. Barth (ORCID: https://orcid.org/0000-0002-7462-3417)
- Alan Kuntz (ORCID: https://orcid.org/0000-0003-0017-3932)
- D. Caleb Rucker (ORCID: https://orcid.org/0000-0001-7181-1933)
Institutions
- Vanderbilt University (US)
- University of Utah (US)
- Knoxville College (US)
- Neurological Surgery (US)
- University of Tennessee at Knoxville (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- IEEE Transactions on Medical Robotics and Bionics
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1109/tmrb.2024.3503894
- Citations
- 2
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- National Science Foundation
- National Institutes of Health
- Natural Sciences and Engineering Research Council of Canada
- National Institute of Biomedical Imaging and Bioengineering
- Division of Civil, Mechanical and Manufacturing Innovation
- Division of Emerging Frontiers in Research and Innovation