2012 IEEE/RSJ International Conference on Intelligent Robots and Systems 2012
DOI: 10.1109/iros.2012.6385603
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Abstract: Abstract-In this article we investigate the representation and acquisition of Semantic Objects Maps (SOMs) that can serve as information resources for autonomous service robots performing everyday manipulation tasks in kitchen environments. These maps provide the robot with information about its operation environment that enable it to perform fetch and place tasks more efficiently and reliably. To this end, the semantic object maps can answer queries such as the following ones: "What do parts of the kitchen lo… Show more

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Cited by 80 publications
(50 citation statements)
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References 21 publications
(22 reference statements)
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“…Katz and Brock [22] developed interactive segmentation for observing object motion during manipulation. Pangercic et al [36] built semantic object maps for manipulation tasks for an autonomous service robot. Hinkle and Edwin [18] proposed a technique for functionally classifying objects using features obtained through physical simulations.…”
Section: Related Workmentioning
confidence: 99%
“…Katz and Brock [22] developed interactive segmentation for observing object motion during manipulation. Pangercic et al [36] built semantic object maps for manipulation tasks for an autonomous service robot. Hinkle and Edwin [18] proposed a technique for functionally classifying objects using features obtained through physical simulations.…”
Section: Related Workmentioning
confidence: 99%
“…Several shape detection methods have been proposed in the computer vision community that can cope with uncertainties and clutter in the data sets [17,25]. Additionally, the current trend in 3D point cloud interpretation is to infer higher level knowledge [23].…”
Section: Related Workmentioning
confidence: 99%
“…In Pangercic et al (2012) a first generation semantic object maps (SOMs) is extended. The so-called SOM + map builds upon earlier work (Rusu et al 2009;Tenorth et al 2010) and stores information about the pose, appearance and category of objects.…”
Section: Related Workmentioning
confidence: 99%