In clinical practice, therapeutic and diagnostic endoluminal procedures of the human body often use a scope, catheter, or passive pill-shaped camera. Unfortunately, such devices used in the circulatory system and gastrointestinal tract are often uncomfortable, invasive, and require the patient to be sedated. With current technology, regions of the body are often inaccessible to the clinician. Herein, a magnetically actuated soft endoluminal inchworm robot that may extend clinicians’ ability to reach further into the human body and practice new procedures is described, modeled, and analyzed. A detailed locomotion model is pro- posed that takes into account the elastic deformation of the robot and its interactions with the environment. The model is validated with in vitro and ex vivo (pig intestine) physical experiments and is shown to capture the robot’s gait characteristics through a lumen. Utilizing dimensional analysis, the effects of the mechanical properties and design variables on the robot’s motion are investigated further to advance the understanding of this endoluminal robot concept.
Shape-centric Modeling for Soft Robot Inchworm Locomotion
Soft robot modeling tends to prioritize soft robot dynamics in order to recover how they might behave. Soft robot design tends to focus on how to use compliant elements with actuation to effect certain canonical movement profiles. For soft robot locomotors, these profiles should lead to locomotion. Naturally, there is a gap between the emphasis of computational modeling and the needs of locomotion design. This paper proposes to consider modeling and computation efforts directed more toward understanding soft robot-world interactions with locomotion in mind. With a SMA-actuated inchworm as the soft robot to model and control, the framework is a combination of shape identification and geometric modeling that culminates in control equations of motion. When applied to the task of gait-based locomotion, the equations operate in a low dimensional shape-based gait space. Simulated and experimentally applied gaits for an inchworm model showed qualitatively similar outcomes, while the measured net displacement per gait cycle coincided within 9%. This result advances the idea that a shape-centric approach to soft robot modeling for control and locomotion may provide predictive locomotive models.
- Award ID(s):
- 1830432
- Publication Date:
- NSF-PAR ID:
- 10298074
- Journal Name:
- Proceedings of the IEEERSJ International Conference on Intelligent Robots and Systems
- ISSN:
- 2153-0866
- Sponsoring Org:
- National Science Foundation
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