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Model Based Techniques for Robotic Servoing and Grasping
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
2002 (English)Conference paper (Refereed)
Abstract [en]

 A robotic manipulation of objects typically involves object detection/recognition, servoing to the object, alignment and grasping. To perform fine alignment and finally grasping, it is usually necessary to estimate position and orientation (pose) of the object. In this paper we present a model based tracking system used to estimate and continuously update the pose of the object to be manipulated. Here, a wire-frame model is used to find and track features in the consequent images. One of the important parts of the system is the ability to automatically initiate the tracking process. The strength of the system is the ability to operate in an domestic environment (living room) with changing lighting and background conditions.

Place, publisher, year, edition, pages
2002. 299-304 p.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-82179OAI: diva2:497998
IEEE/RSJ International Conference on Intelligent Robots and Systems
NR 20140805Available from: 2012-02-11 Created: 2012-02-11Bibliographically approved

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Kragic, Danica
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Computer Vision and Active Perception, CVAP
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