Difference between revisions of "Publications:Bridging the Gap Between Semantic Planning and Continuous Control for Mobile Manipulation Using a Graph-Based World Representation"

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|Name=Philippsen, Roland [rolphi] (Stanford Robotics and AI Lab, Stanford University, California, USA);Nejati, Negin (Stanford Computational Learning Lab, Stanford University, California, USA);Sentis, Luis (Stanford Robotics and AI Lab, Stanford University, California, USA)
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|Name=Philippsen, Roland (rolphi) (0000-0003-3513-8854) (Stanford Robotics and AI Lab, Stanford University, California, USA);Nejati, Negin (Stanford Computational Learning Lab, Stanford University, California, USA);Sentis, Luis (Stanford Robotics and AI Lab, Stanford University, California, USA)
 
|Title=Bridging the Gap Between Semantic Planning and Continuous Control for Mobile Manipulation Using a Graph-Based World Representation
 
|Title=Bridging the Gap Between Semantic Planning and Continuous Control for Mobile Manipulation Using a Graph-Based World Representation
 
|PublicationType=Conference Paper
 
|PublicationType=Conference Paper

Latest revision as of 21:39, 30 September 2016

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Title Bridging the Gap Between Semantic Planning and Continuous Control for Mobile Manipulation Using a Graph-Based World Representation
Author
Year 2009
PublicationType Conference Paper
Journal
HostPublication Proceedings of the HYCAS 2009 workshop : 1st International Workshop on Hybrid Control of Autonomous Systems: Integrating Learning, Deliberation and Reactive Control
Conference 21st International Joint Conference on Artificial Intelligence (IJCAI-09): 1st International Workshop on Hybrid Control of Autonomous Systems - Integrating Learning, Deliberation and Reactive Control (HYCAS 2009) Pasadena, California, USA, July 13 2009
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:577010
Abstract

We present our ongoing efforts to create a mobile manipulation database tool, a flexible multi-modal representation supporting persistent life-long adaptation for autonomous service robots in every-day environments. Its application to a prototypical domain illustrates how it provides symbol grounding to a reasoning system capable of learning new concepts, couples semantic planning with whole-body prioritized control, and supports exploration of uncertain and dynamic environments.