Anatomy-Aware Design for Enhanced Surgical Continuum Robots

Paper: Anatomy-Aware Dexterity-Driven Design Optimization of Surgical Continuum Robots

Authors: Tony Qin, Peter Connor, Khoa Dang, Carter Hatch, Caleb Rucker, Robert J. Webster III, Ron Alterovitz

Executive Summary

This research addresses the design challenges of continuum robots used in complex medical procedures. These robots must be precisely tailored to navigate the specific anatomical features relevant to their tasks, such as surgeries on cancerous polyps in the colon. The study introduces a new method for optimizing robot design by focusing on a metric called the Reachable Volumetric Dexterous Solid Angle (RVDSA). This metric evaluates how effectively a robot's end effector can access different points within a designated volume while avoiding collisions.

The research emphasizes the importance of dexterity in surgical robots, which is crucial for performing delicate procedures. The RVDSA metric serves as a more comprehensive objective than traditional measures, such as 3D voxel coverage. By optimizing for RVDSA, the study reports that their approach results in an average improvement of 78% in dexterity compared to methods that solely focus on volume coverage. This finding suggests that taking anatomical considerations into account can significantly enhance the robot's performance during medical interventions.

To achieve these results, the researchers developed a computationally efficient motion planner that calculates the RVDSA for a given robotic design. They employed an asymptotically optimal simulated annealing optimizer to refine the design based on the metrics derived from their planner. The method was validated through simulations, indicating its potential for real-world application in medical robotics.

The implications of this research are significant for the medical field. By improving the design process of surgical robots, hospitals could see enhanced outcomes in procedures that require high precision and adaptability. As healthcare continues to adopt advanced robotic systems, methodologies like this could inform the development of robots that are better suited for various anatomical structures, potentially reducing surgery times and improving patient safety.

Overall, this research presents a promising advancement in the optimization of robotic designs for medical use, showcasing the potential to enhance surgical dexterity and effectiveness through a more nuanced approach to design parameters.

Academic Abstract

Performing complex medical procedures with continuum robots requires careful selection of their geometric design parameters. The robot should have high dexterity in the specific anatomical environment of its procedure. This work presents a design optimization method that considers both dexterity and anatomy. We introduce the Reachable Volumetric Dexterous Solid Angle (RVDSA) metric as our objective, which measures the ability of a robot's end effector to reach the points in a goal volume from different directions via collision-free paths from a start configuration. We present a computationally efficient motion planner to compute this objective function for a given robotic design, and we use an asymptotically optimal simulated annealing optimizer to compute an optimized design. We applied our new method to optimize the design of a bimanual dexterous sheaths robot for performing procedures on cancerous polyps in colon anatomies, achieving a 78% higher RVDSA on average than optimizing for 3D voxel coverage alone.