执行机构
机器人
运动学
计算机科学
模块化设计
控制工程
流离失所(心理学)
控制理论(社会学)
模拟
曲线坐标
机器人学
人工智能
软机器人
工程类
机器人运动学
曲率
夹持器
机械工程
顺应机制
作者
Daniel S. Esser,Brian Y. Cho,Robert J. Webster,Alan Kuntz
出处
期刊:Soft robotics
[Mary Ann Liebert, Inc.]
日期:2026-10-25
卷期号:: 21695172261492272-21695172261492272
标识
DOI:10.1177/21695172261492272
摘要
Tendon driven continuum robots (TDCRs) exhibit extraordinary dexterity and navigability in highly constrained workspaces, for example, in minimally invasive surgery or industrial inspection and repair tasks. The curvilinear nature of these robots, with their extreme diameter-to-length ratios, enables them to dexterously navigate around obstacles in their environment to reach their goals. However, the dynamic properties of these highly deformable mechanisms make them challenging to operate autonomously at high speeds, and the presence of external loads can significantly impact the accuracy of kinematic models. In this work, we present a compact, low-cost, modular tendon robot actuation platform with fast and stable open-loop dynamics. We explore how pretensioned antagonistic pairs can enable repeatable actuation at high bandwidths using our low-cost hardware setup. Secondly, we show how intrinsic sensing using only motor currents and displacement can be used to improve the shape estimate of the robot when manipulating unknown objects at its tip, without any additional sensors. In this work, we show how high-performance continuum robots can be achieved with relatively low-cost components through the mechanical design of the actuation structure and by leveraging existing information available from the actuators in the computational modeling of these systems.
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