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Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
Spatial Reasoning, EASE CRC: Everyday Activity Science and Engineering, University of Bremen, Bremen, Germany.
Örebro University, School of Science and Technology. Spatial Reasoning, EASE CRC: Everyday Activity Science and Engineering, University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology combining low-level visual processing with high-level, human-centred representations of space and motion rooted in artificial intelligence. We demonstrate practical applicability with examples involving object interactions, and indoor movement.

Place, publisher, year, edition, pages
2017.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:oru:diva-63590OAI: oai:DiVA.org:oru-63590DiVA: diva2:1168925
Conference
ICCV 2017 Workshop - Vision in Practice on Autonomous Robots (ViPAR), International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017
Available from: 2017-12-21 Created: 2017-12-21 Last updated: 2018-01-13Bibliographically approved

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Commonsense Scene Semantics for Cognitive Robotics

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Bhatt, Mehul

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Citation style
  • apa
  • ieee
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