Online Disturbance Estimation for Improving Kinematic Accuracy in Continuum Manipulators

Autor: Robert J. Webster, Keith L. Obstein, Federico Campisano, James H. Chandler, Simone Calo, Pietro Valdastri, Andria A. Remirez
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Robot Autom Lett
IEEE Robotics and Automation Letters
ISSN: 2377-3766
Popis: Continuum manipulators are flexible robots which undergo continuous deformation as they are actuated. To describe the elastic deformation of such robots, kinematic models have been developed and successfully applied to a large variety of designs and to various levels of constitutive stiffness. Independent of the design, kinematic models need to be calibrated to best describe the deformation of the manipulator. However, even after calibration, unmodeled effects such as friction, nonlinear elastic and/or spatially varying material properties as well as manufacturing imprecision reduce the accuracy of these models. In this letter, we present a method for improving the accuracy of kinematic models of continuum manipulators through the incorporation of orientation sensor feedback. We achieve this through the use of a “disturbance wrench,” which is used to compensate for these unmodeled effects, and is continuously estimated based on orientation sensor feedback as the robot moves through its workspace. The presented method is applied to the HydroJet, a waterjet-actuated soft continuum manipulator, and shows an average of 40% reduction in root mean square position and orientation error in the two most common types of kinematic models for continuum manipulators, a Cosserat rod model and a pseudo-rigid body model.
Databáze: OpenAIRE