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Titel:

KVP: A Knowledge of Volumes Approach to Robot Task Planning

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Gaschler, Andre; Petrick, Ronald P. A.; Giuliani, Manuel; Rickert, Markus; Knoll, Alois
Abstract:
Robot task planning is an inherently challenging problem, as it covers both continuous-space geometric reasoning about robot motion and perception, as well as purely symbolic knowledge about actions and objects. This paper presents a novel "knowledge of volumes" framework for solving generic robot tasks in partially known environments. In particular, this approach (abbreviated, KVP) combines the power of symbolic, knowledge-level AI planning with the efficient computation of volumes, which serve...     »
Stichworte:
james
Kongress- / Buchtitel:
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Jahr:
2013
Monat:
Nov
Seiten:
202--208
Volltext / DOI:
doi:10.1109/IROS.2013.6696354
WWW:
http://youtu.be/yMmZkhHr8ss
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