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Joint angle estimation for floating base robots utilizing MEMS IMUs

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication8th IEEE International Conference on Cybernetics and Intelligent Systems (CIS), Robotics, Automation and Mechatronics (RAM)
Place of PublicationChina
PublisherIEEE
Pages282-287
Number of pages6
ISBN (Electronic)978-1-5386-3135-5
DOIs
Publication statusPublished - 2017
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) -
Duration: 1 Jan 2000 → …

Conference

ConferenceIEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
Abbreviated titleCIS-RAM
Period1/01/00 → …

Abstract

This paper describes a novel motion estimation algorithm for floating base manipulators that utilizes low-cost inertial measurement units (IMUs) containing a three-axis gyroscope and a three-axis accelerometer. Four strap-down microelectromechanical system (MEMS) IMUs are mounted on each link to form a virtual IMU whose body’s fixed frame is located at the center of the joint rotation. An extended Kalman filter (EKF) and a complementary filter are used to develop a virtual IMU by fusing together the output of four IMUs. The novelty of the proposed algorithm is that no forward kinematic model that requires data flow from previous joints is needed. The measured results obtained from the planar motion of a hydraulic arm show that the accuracy of the estimation of the joint angle is within ± 1 degree and that the root mean square error is less than 0.5 degree.

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