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Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning
Robotics, Perception and Learning Lab (RPL), CAS, EECS, KTH Royal Institute of Technology, Stockholm, Sweden.
Robotics, Perception and Learning Lab (RPL), CAS, EECS, KTH Royal Institute of Technology, Stockholm, Sweden.
Robotics, Perception and Learning Lab (RPL), CAS, EECS, KTH Royal Institute of Technology, Stockholm, Sweden. (AASS)ORCID iD: 0000-0003-3958-6179
GRAB Lab, Yale University, New Haven, USA.
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2019 (English)Manuscript (preprint) (Other academic)
Place, publisher, year, edition, pages
2019.
Keywords [en]
Computer Science - Robotics
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Computer Sciences Computer Vision and Robotics (Autonomous Systems)
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URN: urn:nbn:se:oru:diva-71549OAI: oai:DiVA.org:oru-71549DiVA, id: diva2:1280211
Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-02-01Bibliographically approved

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Stork, Johannes Andreas

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Computer SciencesComputer Vision and Robotics (Autonomous Systems)

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CiteExportLink to record
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