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Rigid and non-rigid classification using interactive perception
2010
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Robotics research tends to focus upon either noncontact sensing or machine manipulation, but not both. This paper explores the benefits of combining the two by addressing the problem of classifying unknown objects, such as found in service robot applications. In the proposed approach, an object lies on a flat background, and the goal of the robot is to interact with and classify each object so that it can be studied further. The algorithm considers each object to be classified using color,
doi:10.1109/iros.2010.5652733
dblp:conf/iros/WillimonBW10
fatcat:uw7bzikgsne6pkfj2tiimq4qr4