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Updated: Jun 28, 2026

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Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
Published on: November 14, 2015
The development of a material model and wheel-tissue interaction for simulating wheeled surgical robot mobility
Mark E Rentschler1, John D Reid
1Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA. mark.rentschler@colorado.edu
Computer Methods in Biomechanics and Biomedical Engineering
|November 18, 2008
Summary
This study modeled surgical robot wheel interaction with liver tissue using finite element analysis. The model accurately predicted drawbar force, providing a basis for optimizing future surgical robot wheel designs.
Area of Science:
- Robotics
- Biomedical Engineering
- Finite Element Analysis
Background:
- Surgical robots require precise interaction with delicate tissues.
- Understanding wheel-tissue mechanics is crucial for robotic surgery design.
Purpose of the Study:
- To develop and validate a finite element model for simulating surgical robot wheel-tissue interaction.
- To investigate the influence of wheel parameters on performance metrics like drawbar force.
Main Methods:
- A nonlinear finite element model was created using a viscoelastic liver material model derived from experimental data.
- Simulations of a helical wheel interacting with the liver model were performed under various slip ratios and loads.
- Model predictions were compared against physical laboratory tests.
Main Results:
- The finite element model accurately replicated laboratory experiments, validating the liver material model.
- The simulation showed good agreement with measured drawbar forces from physical tests.
- The study established a baseline for analyzing how wheel geometry affects performance.
Conclusions:
- The developed finite element model is a reliable tool for studying surgical robot wheel-tissue interaction.
- This research provides foundational data for optimizing the design of surgical robot wheels.
- Findings will inform future advancements in surgical robotic systems.

