Building Multiversal Semantic Maps for Mobile Robot Operation
作者：
Highlights：
• A probabilistic stance is proposed for tackling the symbol grounding problem.
• The outcome of such grounding is accommodated in a novel semantic map representation.
• This semantic map considers different interpretations of the robot workspace.
• A more coherent robot operation is achieved by exploring such interpretations.
• Our proposal has been assessed employing the Robot@Home dataset.
摘要
•A probabilistic stance is proposed for tackling the symbol grounding problem.•The outcome of such grounding is accommodated in a novel semantic map representation.•This semantic map considers different interpretations of the robot workspace.•A more coherent robot operation is achieved by exploring such interpretations.•Our proposal has been assessed employing the Robot@Home dataset.
论文关键词：Semantic maps,Mobile robots,Symbol grounding,Conditional random fields,Ontologies,Uncertainty handling
论文评审过程：Received 16 August 2016, Revised 6 December 2016, Accepted 18 December 2016, Available online 19 December 2016, Version of Record 25 January 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.12.016
