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Qualitative Review of Object Recognition Techniques for Tabletop Manipulation

Authors:

Christopher D. Wallbridge,

Séverin Lemaignan,

Tony BelpaemeAuthors Info & Claims

HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction

Pages 359 - 363

https://doi.org/10.1145/3125739.3132593

Published: 27 October 2017 Publication History

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Abstract

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 non-vision 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.

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Cited By

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van den Berghe ROudgenoeg-Paz OVerhagen JBrouwer Sde Haas Mde Wit JWillemsen BVogt PKrahmer ELeseman P(2021)Individual Differences in Children’s (Language) Learning Skills Moderate Effects of Robot-Assisted Second Language LearningFrontiers in Robotics and AI10.3389/frobt.2021.6762488Online publication date: 24-Aug-2021
https://doi.org/10.3389/frobt.2021.676248
Vogt Pvan den Berghe Rde Haas MHoffman LKanero JMamus EMontanier JOranc COudgenoeg-Paz OGarcia DPapadopoulos FSchodde TVerhagen JWallbridgell CWillemsen Bde Wit JBelpaeme TGoksun TKopp SKrahmer EKuntay ALeseman PPandey A(2019)Second Language Tutoring Using Social Robots: A Large-Scale Study2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI.2019.8673077(497-505)Online publication date: Mar-2019
https://doi.org/10.1109/HRI.2019.8673077

Index Terms

Qualitative Review of Object Recognition Techniques for Tabletop Manipulation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding

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Information & Contributors

Information

Published In

HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction

October 2017

550 pages

ISBN:9781450351133

DOI:10.1145/3125739

General Chairs:
Britta Wrede
Bielefeld University, Germany
,
Yukie Nagai
Osaka University, Japan
,
Program Chairs:
Takanori Komatsu
Meiji University, Japan
,
Marc Hanheide
University of Lincoln, UK
,
Lorenzo Natale
Italian Institute of Technology, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2017

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Horizon 2020

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HAI '17

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SIGCHI

HAI '17: The Fifth International Conference on Human-Agent Interaction

October 17 - 20, 2017

Bielefeld, Germany

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

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van den Berghe ROudgenoeg-Paz OVerhagen JBrouwer Sde Haas Mde Wit JWillemsen BVogt PKrahmer ELeseman P(2021)Individual Differences in Children’s (Language) Learning Skills Moderate Effects of Robot-Assisted Second Language LearningFrontiers in Robotics and AI10.3389/frobt.2021.6762488Online publication date: 24-Aug-2021
https://doi.org/10.3389/frobt.2021.676248
Vogt Pvan den Berghe Rde Haas MHoffman LKanero JMamus EMontanier JOranc COudgenoeg-Paz OGarcia DPapadopoulos FSchodde TVerhagen JWallbridgell CWillemsen Bde Wit JBelpaeme TGoksun TKopp SKrahmer EKuntay ALeseman PPandey A(2019)Second Language Tutoring Using Social Robots: A Large-Scale Study2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI.2019.8673077(497-505)Online publication date: Mar-2019
https://doi.org/10.1109/HRI.2019.8673077

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Trajectory based video object manipulation

A review and an approach for object detection in images

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