Kinematic Parameter Optimization of a Miniaturized Surgical Instrument Based on Dexterous Workspace Determination
Xin Zhi, Weibang Bai, and Eric M. Yeatman

TL;DR
This paper presents a method for optimizing the kinematic parameters of a miniaturized tendon-driven surgical instrument, balancing miniaturization with a large dexterous workspace through workspace determination and volume estimation techniques.
Contribution
It introduces a novel approach based on workspace determination for designing miniaturized surgical robots with optimized kinematic parameters.
Findings
Achieved a design with a large dexterous workspace within miniature size constraints.
Validated the robotic configuration as feasible and effective.
Demonstrated the effectiveness of boundary determination and polynomial fitting methods.
Abstract
Miniaturized instruments are highly needed for robot assisted medical healthcare and treatment, especially for less invasive surgery as it empowers more flexible access to restricted anatomic intervention. But the robotic design is more challenging due to the contradictory needs of miniaturization and the capability of manipulating with a large dexterous workspace. Thus, kinematic parameter optimization is of great significance in this case. To this end, this paper proposes an approach based on dexterous workspace determination for designing a miniaturized tendon-driven surgical instrument under necessary restraints. The workspace determination is achieved by boundary determination and volume estimation with partition and least-squares polynomial fitting methods. The final robotic configuration with optimized kinematic parameters is proved to be eligible with a large enough dexterous…
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Taxonomy
TopicsSoft Robotics and Applications · Advanced Measurement and Metrology Techniques · Surgical Simulation and Training
