Literature DB >> 33501221

Mutual Shaping in Swarm Robotics: User Studies in Fire and Rescue, Storage Organization, and Bridge Inspection.

Daniel Carrillo-Zapata1,2,3, Emma Milner1,2,3, Julian Hird1,2,3, Georgios Tzoumas1,2, Paul J Vardanega2, Mahesh Sooriyabandara4, Manuel Giuliani1,2,3, Alan F T Winfield1,3, Sabine Hauert1,2.   

Abstract

Many real-world applications have been suggested in the swarm robotics literature. However, there is a general lack of understanding of what needs to be done for robot swarms to be useful and trusted by users in reality. This paper aims to investigate user perception of robot swarms in the workplace, and inform design principles for the deployment of future swarms in real-world applications. Three qualitative studies with a total of 37 participants were done across three sectors: fire and rescue, storage organization, and bridge inspection. Each study examined the users' perceptions using focus groups and interviews. In this paper, we describe our findings regarding: the current processes and tools used in these professions and their main challenges; attitudes toward robot swarms assisting them; and the requirements that would encourage them to use robot swarms. We found that there was a generally positive reaction to robot swarms for information gathering and automation of simple processes. Furthermore, a human in the loop is preferred when it comes to decision making. Recommendations to increase trust and acceptance are related to transparency, accountability, safety, reliability, ease of maintenance, and ease of use. Finally, we found that mutual shaping, a methodology to create a bidirectional relationship between users and technology developers to incorporate societal choices in all stages of research and development, is a valid approach to increase knowledge and acceptance of swarm robotics. This paper contributes to the creation of such a culture of mutual shaping between researchers and users, toward increasing the chances of a successful deployment of robot swarms in the physical realm.
Copyright © 2020 Carrillo-Zapata, Milner, Hird, Tzoumas, Vardanega, Sooriyabandara, Giuliani, Winfield and Hauert.

Entities:  

Keywords:  bridge inspection; firefighting; mutual shaping; rescuing; responsible research and innovation; storage organization; swarm robotics; users

Year:  2020        PMID: 33501221      PMCID: PMC7806009          DOI: 10.3389/frobt.2020.00053

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  2 in total

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Authors:  Justin Werfel; Kirstin Petersen; Radhika Nagpal
Journal:  Science       Date:  2014-02-14       Impact factor: 47.728

2.  Ethical governance is essential to building trust in robotics and artificial intelligence systems.

Authors:  Alan F T Winfield; Marina Jirotka
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-10-15       Impact factor: 4.226

  2 in total
  1 in total

1.  Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm.

Authors:  Tingjun Lei; Chaomin Luo; Gene Eu Jan; Zhuming Bi
Journal:  Front Robot AI       Date:  2022-03-22
  1 in total

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