4.6 Article

Design, Modeling and Validation of a Tendon-Driven Soft Continuum Robot for Planar Motion Based on Variable Stiffness Structures

期刊

IEEE ROBOTICS AND AUTOMATION LETTERS
卷 7, 期 2, 页码 3985-3991

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2022.3149031

关键词

Tendons; Robots; Springs; Mathematical models; Shape; Manipulators; Kinematics; Soft robot materials and design; compliant joints and mechanisms; modeling; control; and learning for soft robots; tendon; wire mechanism; kinematics

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This study presents the design of a robotic structure based on variable stiffness, which enables high-performance and flexible motion while ensuring safety for Human-Robot Collaboration. By switching the structural stiffness, the robotic manipulator is able to perform complex planar motion with fewer actuators. The study also introduces a kinematic modeling approach and validates it through experiments.
Robotic structures based on variable stiffness enable high-performance and flexible motion systems that are inherently safe and thus allow safe Human-Robot Collaboration. This letter presents the design of a robotic structure based on variable stiffness. A robotic manipulator is developed using three variable stiff segments based on particle jamming with a backbone architecture and two tendons for an underactuated motion control of the whole structure. By switching the structural stiffness, the manipulator is able to perform complex planar motion with only one pair of tendons, reducing the number of actuators required. A kinematic modeling approach for the calculation of the forward kinematics of this soft continuum structure is presented, and the validation on the real system is explained. The kinematic simulation is performed with a multibody simulation model (MBS) using rigid body elements in combination with rotational springs. The validation of the model is carried out with visual measurements of the real system using defined target shapes. Simulation and experimental results are discussed and compared also with a common constant curvature model. The developed MBS-model demonstrates a promising modeling approach with a position error lower 3% for the calculation of the presented manipulator under gravity.

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