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"Open Sesame!" Adaptive Force/Velocity Control for Opening Unknown Doors
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0001-5129-342X
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0003-2078-8854
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0002-3653-4691
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0002-7714-928X
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2012 (English)In: Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on, IEEE , 2012, 4040-4047 p.Conference paper, Published paper (Refereed)
Abstract [en]

The problem of door opening is fundamental for robots operating in domestic environments. Since these environments are generally less structured than industrial environments, several types of uncertainties associated with the dynamics and kinematics of a door must be dealt with to achieve successful opening. This paper proposes a method that can open doors without prior knowledge of the door kinematics. The proposed method can be implemented on a velocity-controlled manipulator with force sensing capabilities at the end-effector. The method consists of a velocity controller which uses force measurements and estimates of the radial direction based on adaptive estimates of the position of the door hinge. The control action is decomposed into an estimated radial and tangential direction following the concept of hybrid force/motion control. A force controller acting within the velocity controller regulates the radial force to a desired small value while the velocity controller ensures that the end effector of the robot moves with a desired tangential velocity leading to task completion. This paper also provides a proof that the adaptive estimates of the radial direction converge to the actual radial vector. The performance of the control scheme is demonstrated in both simulation and on a real robot.

Place, publisher, year, edition, pages
IEEE , 2012. 4040-4047 p.
Series
IEEE International Conference on Intelligent Robots and Systems. Proceedings, ISSN 2153-0858
Keyword [en]
Control actions, Control schemes, Domestic environments, Force controller, Force sensing, Force/velocity, Industrial environments, Prior knowledge, Radial direction, Radial forces, Real robot, Tangential directions, Tangential velocities, Velocity controllers
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-107025DOI: 10.1109/IROS.2012.6385835ISI: 000317042704092Scopus ID: 2-s2.0-84872289602ISBN: 978-146731737-5 (print)OAI: oai:DiVA.org:kth-107025DiVA: diva2:574448
Conference
25th IEEE/RSJ International Conference on Robotics and Intelligent Systems, IROS 2012; Vilamoura, Algarve;7 October 2012 through 12 October 2012
Funder
EU, FP7, Seventh Framework Programme, FP7-ICT-288533Swedish Foundation for Strategic Research Swedish Research CouncilICT - The Next Generation
Note

QC 20121217

Available from: 2012-12-05 Created: 2012-12-05 Last updated: 2015-12-16Bibliographically approved

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Iros2012Karayiannidis(1266 kB)52 downloads
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Type fulltextMimetype application/pdf

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Karayiannidis, YiannisSmith, ChristianVina, FranciscoÖgren, PetterKragic, Danica
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