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Journal article

Modelling Observation Correlations for Active Exploration and Robust Object Detection

Abstract:

Today, mobile robots are expected to carry out increasingly complex tasks in multifarious, realworld environments. Often, the tasks require a certain semantic understanding of the workspace. Consider, for example, spoken instructions from a human collaborator referring to objects of interest; the robot must be able to accurately detect these objects to correctly understand the instructions. However, existing object detection, while competent, is not perfect. In particular, the performance of ...

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Publication status:
Published

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Journal:
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
Volume:
44
Pages:
423-453
Publication date:
2012
EISSN:
1076-9757
ISSN:
1076-9757
URN:
uuid:1a8b2cbc-5a2b-42f2-8eaf-e49b8879ce53
Source identifiers:
345361
Local pid:
pubs:345361
Language:
English

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