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Multiple-Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Contact Particle Filter and Kinetostatic Models

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Abstract

This paper presents a new approach to determine single and multiple simultaneous contact forces on a tendon-driven continuum robot (CR). The estimation is based solely on the proprioceptive tendon force and length sensors that are already present. Unlike for rigid-body robots, only indirect measurements of the external forces' deflection is available. The required full kinetostatic model, which is prone to local minima due to the unknown contacts, is solved with a particle filter. The method is validated by simulative studies and experimental investigations on a new robot setup for visual inspection of aircraft engines. The algorithm allows the estimation of single contacts with an error up to 4.43 mm or 2.9 % of the robot's length. Multiple contacts can only be correctly determined at the two distal of the three segments.

Original languageEnglish
Title of host publication2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages10224-10231
Number of pages8
ISBN (Electronic)978-1-6654-9190-7
DOIs
Publication statusPublished - 1 Oct 2023
Event2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Detroit, United States
Duration: 1 Oct 20235 Oct 2023

Publication series

NameProceedings of the International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Abbreviated titleIROS
Country/TerritoryUnited States
CityDetroit
Period1 Oct 20235 Oct 2023

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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