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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Gaschler, Andre; Petrick, Ronald P. A.; Giuliani, Manuel; Rickert, Markus; Knoll, Alois 
Titel:
KVP: A Knowledge of Volumes Approach to Robot Task Planning 
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) 
Konferenzort:
Tokyo, Japan 
Jahr:
2013 
Monat:
Nov 
Seiten:
202--208