Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery

Concentric tube robots (CTRs) are well-suited to address the unique challenges of minimally invasive surgical procedures due to their small size and ability to navigate highly constrained environments. However, uncertainties in the manufacturing process can lead to challenges in the transition from simulated designs to physical robots. In this work, we propose an end-to-end design workflow for CTRs that considers the often-overlooked impact of manufacturing uncertainty, focusing on two primary sources - tube curvature and diameter. This comprehensive approach incorporates a two-step design optimization and an uncertainty-based selection of manufacturing tolerances. Simulation results highlight the substantial influence of manufacturing uncertainties, particularly tube curvature, on the physical robot's performance. By integrating these uncertainties into the design process, we can effectively bridge the gap between simulation and real-world performance. Two hardware experiments validate the proposed CTR design workflow. The first experiment confirms that the performance of the physical robot lies within the simulated probability distribution from the optimization, while the second experiment demonstrates the feasibility of the overall system for use in micro-laryngeal surgical tasks. This work not only contributes to a more comprehensive understanding of CTR design by addressing manufacturing uncertainties, but also creates a new framework for robust design, as illustrated in the context of micro-laryngeal surgery.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2024-09-02
DOI
https://doi.org/10.1109/tbme.2024.3426489
Citations
2
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.37
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article

Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery

Hunter B. Gilbert, John T. Hwang, Benjamin T. Ostrander, Philip A. Weissbrod et al.
2 citations
IEEE Transactions on Biomedical Engineering
Soft Robotics and Applications
0.37
article

Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery

Hunter B. Gilbert, John T. Hwang, Benjamin T. Ostrander, Philip A. Weissbrod, Tania K. Morimoto, Parsa Molaei, Cédric Girerd, Jui‐Te Lin
article en
2 citations

Abstract

Concentric tube robots (CTRs) are well-suited to address the unique challenges of minimally invasive surgical procedures due to their small size and ability to navigate highly constrained environments. However, uncertainties in the manufacturing process can lead to challenges in the transition from simulated designs to physical robots. In this work, we propose an end-to-end design workflow for CTRs that considers the often-overlooked impact of manufacturing uncertainty, focusing on two primary sources - tube curvature and diameter. This comprehensive approach incorporates a two-step design optimization and an uncertainty-based selection of manufacturing tolerances. Simulation results highlight the substantial influence of manufacturing uncertainties, particularly tube curvature, on the physical robot's performance. By integrating these uncertainties into the design process, we can effectively bridge the gap between simulation and real-world performance. Two hardware experiments validate the proposed CTR design workflow. The first experiment confirms that the performance of the physical robot lies within the simulated probability distribution from the optimization, while the second experiment demonstrates the feasibility of the overall system for use in micro-laryngeal surgical tasks. This work not only contributes to a more comprehensive understanding of CTR design by addressing manufacturing uncertainties, but also creates a new framework for robust design, as illustrated in the context of micro-laryngeal surgery.

IEEE Transactions on Biomedical EngineeringVol. 71(12)
Louisiana State University (US), Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), University of California System (US), University of California San Diego (US), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR), University of California, Berkeley (US)
Openalex Percentile: Top 44%
Soft Robotics and Applications
0.37
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