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Adaptive virtual fixtures for machine-assisted teleoperation tasks
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.
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.
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: 0000-0003-2965-2953
2005 (English)In: 2005 IEEE International Conference on Robotics and Automation (ICRA), Vols 1-4, 2005, 1139-1144 p.Conference paper, Published paper (Refereed)
Abstract [en]

It has been demonstrated in a number of robotic areas how the use of virtual fixtures improves task performance both in terms of execution time and overall precision, [1]. However, the fixtures are typically inflexible, resulting in a degraded performance in cases of unexpected obstacles or incorrect fixture models. In this paper, we propose the use of adaptive virtual fixtures that enable us to cope with the above problems. A teleoperative or human machine collaborative setting is assumed with the core idea of dividing the task, that the operator is executing, into several subtasks. The operator may remain in each of these subtasks as long as necessary and switch freely between them. Hence, rather than executing a predefined plan, the operator has the ability to avoid unforeseen obstacles and deviate from the model. In our system, the probability that the user is following a certain trajectory (subtask) is estimated and used to automatically adjusts the compliance. Thus, an on-line decision of how to fixture the movement is provided.

Place, publisher, year, edition, pages
2005. 1139-1144 p.
Series
IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ISSN 1050-4729
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-43153DOI: 10.1109/ROBOT.2005.1570269ISI: 000235460100183Scopus ID: 2-s2.0-33846172365ISBN: 0-7803-8914-X (print)OAI: oai:DiVA.org:kth-43153DiVA: diva2:448228
Conference
IEEE International Conference on Robotics and Automation (ICRA). Barcelona, SPAIN. APR 18-22, 2005
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-13 Last updated: 2012-01-24Bibliographically approved

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Kragic, Danica

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