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Scalable target detection for large robot teams

Published: 06 March 2011 Publication History

Abstract

In this paper, we present an asynchronous display method, coined image queue, which allows operators to search through a large amount of data gathered by autonomous robot teams. We discuss and investigate the advantages of an asynchronous display for foraging tasks with emphasis on Urban Search and Rescue. The image queue approach mines video data to present the operator with a relevant and comprehensive view of the environment in order to identify targets of interest such as injured victims. It fills the gap for comprehensive and scalable displays to obtain a network-centric perspective for UGVs. We compared the image queue to a traditional synchronous display with live video feeds and found that the image queue reduces errors and operator's workload. Furthermore, it disentangles target detection from concurrent system operations and enables a call center approach to target detection. With such an approach we can scale up to very large multi-robot systems gathering huge amounts of data that is then distributed to multiple operators.

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  • (2024)A Taxonomy of Robot Autonomy for Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634993(381-393)Online publication date: 11-Mar-2024
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  • (2019)Summarizing agent strategiesAutonomous Agents and Multi-Agent Systems10.1007/s10458-019-09418-wOnline publication date: 26-Jul-2019
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cover image ACM Conferences
HRI '11: Proceedings of the 6th international conference on Human-robot interaction
March 2011
526 pages
ISBN:9781450305617
DOI:10.1145/1957656
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 ACM 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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  • RA: IEEE Robotics and Automation Society
  • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
  • The Association for the Advancement of Artificial Intelligence (AAAI)
  • IEEE Systems, Man and Cybernetics Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2011

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Author Tags

  1. evaluation
  2. human-robot interaction
  3. metrics
  4. multi-robot system

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

View all
  • (2024)A Taxonomy of Robot Autonomy for Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634993(381-393)Online publication date: 11-Mar-2024
  • (2022)A Review of the Operational Use of UAS in Public Safety Emergency Incidents2022 International Conference on Unmanned Aircraft Systems (ICUAS)10.1109/ICUAS54217.2022.9836061(922-931)Online publication date: 21-Jun-2022
  • (2019)Summarizing agent strategiesAutonomous Agents and Multi-Agent Systems10.1007/s10458-019-09418-wOnline publication date: 26-Jul-2019
  • (2018)Agent Strategy SummarizationProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237877(1203-1207)Online publication date: 9-Jul-2018
  • (2017)Decentralized coordinated motion for a large team of robots preserving connectivity and avoiding collisions2017 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA.2017.7989180(1505-1511)Online publication date: May-2017
  • (2017)Inconsistency detection and data fusion in USAR taskEngineering Computations10.1108/EC-11-2015-033934:1(18-32)Online publication date: 6-Mar-2017
  • (2016)Information Fusion Using Characteristic Linear System in Multi-robot Search and Rescue Task2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)10.1109/IRI.2016.59(394-400)Online publication date: Jul-2016
  • (2015)Fully bayesian learning and spatial reasoning with flexible human sensor networksProceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems10.1145/2735960.2735970(80-89)Online publication date: 14-Apr-2015
  • (2014)Towards effective user-guided robot search (extended abstract)Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2617500(1415-1416)Online publication date: 5-May-2014
  • (2014)Fusing Information, Crowdsourcing and MobilityProceedings of the 2014 IEEE 15th International Conference on Mobile Data Management - Volume 0210.1109/MDM.2014.77(4-6)Online publication date: 14-Jul-2014
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