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Computational Vision for Interaction with People and Robots
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
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Facilities for sensing and modification of the environmentis crucial to delivery of robotics facilities that can interact with humansand objects in the environment. Both for recognition of objectsand interpretation of human activities (for instruction and avoidance)the by far most versatile sensory modality is computational vision.Use of vision for interpretation of human gestures and for manipulationof objects is outlined in this paper. It is here described how combinationof multiple visual cues can be used to achieve robustness andthe tradeoff between models and cue integration is illustrated. Thedescribed vision competences are demonstrated in the context of anintelligent service robot that operates in a regular domestic setting.

Keyword [en]
Gesture Interpretation, Manipulation, Computational Vision, Pattern recognition, Cue Integration, Robotics
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-82439OAI: oai:DiVA.org:kth-82439DiVA: diva2:498243
Note

PS 2013

Available from: 2012-02-11 Created: 2012-02-11 Last updated: 2013-02-27Bibliographically approved

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Kragic, Danica

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Christensen, Henrik I.Kragic, Danica
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