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Qualitative Review of Object Recognition Techniques for Tabletop Manipulation

Wallbridge, Christopher D.; Belpaeme, Tony; Lemaignan, S.

Authors

Christopher D. Wallbridge

Tony Belpaeme

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Severin Lemaignan Severin.Lemaignan@uwe.ac.uk
Associate Professor in Social Robotics and AI



Abstract

© 2017 ACM. This paper provides a qualitative review of different object recognition techniques relevant for near-proximity Human- Robot Interaction. These techniques are divided into three categories: 2D correspondence, 3D correspondence and nonvision based methods. For each technique an implementation is chosen that is representative of the existing technology to provide a broad review to assist in selecting an appropriate method for tabletop object recognition manipulation. For each of these techniques we give their strengths and weaknesses based on defined criteria. We then discuss and provide recommendations for each of them.

Citation

Wallbridge, C. D., Lemaignan, S., & Belpaeme, T. (2017). Qualitative Review of Object Recognition Techniques for Tabletop Manipulation. In ACM Human-Agent Interaction Conference. , (359-363). https://doi.org/10.1145/3125739.3132593

Conference Name HAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction
Acceptance Date Sep 1, 2017
Publication Date 2017
Deposit Date Oct 19, 2018
Peer Reviewed Peer Reviewed
Pages 359-363
Book Title ACM Human-Agent Interaction Conference
ISBN 9781450351133
DOI https://doi.org/10.1145/3125739.3132593
Public URL https://uwe-repository.worktribe.com/output/903915
Publisher URL http://dx.doi.org/10.1145/3125739.3132593
Additional Information Title of Conference or Conference Proceedings : International Conference on Human Agent Interaction