首页 /研究 /Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots
SURGICAL

Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots

Daniel S. Esser, Margaret Rox, Robert P. Naftel, D. Caleb Rucker, Eric J. Barth, Alan Kuntz, Robert J. Webster

发表年份
2024
引用次数
3

摘要

Prior models of continuously flexible robots typically assume uniform stiffness, and in this paper we relax this assumption. Geometrically varying stiffness profiles provide additional design freedom to influence the motions and workspaces of continuum robots. These results are timely, because with recent rapid advancements in multimaterial additive manufacturing techniques, it is now straightforward to create more complex stiffness profiles in robots. The key insight of this paper is to project forces and moments applied to the robot onto its center of stiffness (i.e. the Young's modulus-weighted center of each cross section). We show how the center of stiffness can be thought of as analogous to a "precurved backbone" in a robot with uniform stiffness. This analogy enables a large body of prior work in Cosserat Rod modeling of such robots to be applied directly to those with stiffness variations. We experimentally validate this approach using multimaterial, soft, tendon-actuated robots. Lastly, to illustrate how these results can be used in practice, we investigate how stiffness variation can improve performance in a neurosurgical task.

关键词

EndoscopeDeformation (meteorology)RobotEncoding (memory)Artificial intelligenceComputer scienceComputer visionMaterials scienceMedicineComposite material

相关论文

查看 SURGICAL 分类全部论文