Cognition-Enabled Robot Control for Mixed Human-Robot Rescue Teams

Yazdani, Fereshta; Brieber, Benjamin; Beetz, Michael

doi:10.1007/978-3-319-08338-4_98

Cited by 8 publications

(12 citation statements)

References 10 publications

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“…Management: Pina et al, 2008;Sellner et al, 2006 Cognitive science: J. Wang et al, 2008;You & Robert, 2016, 2019a, 2019bHRI: Alboul et al, 2008Crandall et al, 2003;Goodrich et al, 2007Military: Brown et al, 2005 Robotics: Zheng et al, 2013 (Urban) search and rescue: Burke & Murphy, 2004Kantor et al, 2006;Lee et al, 2010;Ranzato & Vertesi, 2017;Yazdani et al, 2016 Human-/Robotdirected mixed team "human workers . .…”

Section: Team Type Team Composition Sample Definitionmentioning

confidence: 99%

How and When Can Robots Be Team Members? Three Decades of Research on Human–Robot Teams

Wolf

Stock‐Homburg

2022

Group & Organization Management

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Artificial intelligence and robotic technologies have grown in sophistication and reach. Accordingly, research into mixed human–robot teams that comprise both robots and humans has expanded as well, attracting the attention of researchers from different disciplines, such as organizational behavior, human–robot interaction, cognitive science, and robotics. With this systematic literature review, the authors seek to establish deeper insights into existing research and sharpen the definitions of relevant terms. With a close consideration of 150 studies published between 1990 and 2020 that investigate mixed human–robot teams, conceptually or empirically, this article provides both a systematic evaluation of extant research and propositions for further research.

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Section: Team Type Team Composition Sample Definitionmentioning

confidence: 99%

How and When Can Robots Be Team Members? Three Decades of Research on Human–Robot Teams

Wolf

Stock‐Homburg

2022

Group & Organization Management

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“…SAR missions that use multiple data‐gathering robots face peculiar issues for real‐time data transfer, management, filtering and presentation to rescue workers (Balta et al, ). Moreover, deployments involving mixed human–robot teams pose difficult challenges from the system design perspective (Kruijff et al, ); in this context, achieving efficient coordination also requires the ability to interpret the high‐level task assigned to each unit (Yazdani, Scheutz, & Beetz, ).…”

Section: State Of the Artmentioning

confidence: 99%

“…Contributions from the ICARUS project (Cubber et al, ) included research into human–robot collaboration (Doroftei, Cubber, & Chintamani, ) and data management for a multirobot teams (Balta et al, ). The SHERPA project (Marconi et al, ), whose goal was to enable robotic‐assisted SAR in alpine environments, investigated cognitive (Blumenthal et al, ; Yazdani et al, ), organizational (Doherty et al, ), as well as technological (Rahman, ) aspects of communication in a heterogeneous team.…”

Section: State Of the Artmentioning

confidence: 99%

The current state and future outlook of rescue robotics

Delmerico

Mintchev

Giusti

et al. 2019

Journal of Field Robotics

246

124

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Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real-world environments. Postdisaster scenarios are a particularly relevant target for applying such technologies, due to the challenging conditions faced by rescue workers and the possibility to increase their efficacy while decreasing the risks they face. However, field-deployable technologies for rescue work have requirements for robustness, speed, versatility, and ease of use that may not be matched by the state of the art in robotics research. This paper aims to survey How to cite this article: Delmerico J, Mintchev S, Giusti A, et al. The current state and future outlook of rescue robotics.

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“…IoT sensors can make human-robot interaction more robust in manufacturing environment. The IoT can provide information on the position and state of parts and equipment to disambiguate natural language instructions that are often vague or contain implicit assumptions [24].…”

Section: ) Interaction Abilitymentioning

confidence: 99%

Research toward IoT and Robotics in Intelligent Manufacturing: A Survey

Liu¹

2019

IJMMM

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The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance intelligent manufacturing, thus enabling the creation of new, potentially disruptive services. This paper discusses some of the new technological challenges created by this merger and concludes that a truly holistic view is needed but currently lacking.

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Cognition-Enabled Robot Control for Mixed Human-Robot Rescue Teams

Cited by 8 publications

References 10 publications

How and When Can Robots Be Team Members? Three Decades of Research on Human–Robot Teams

How and When Can Robots Be Team Members? Three Decades of Research on Human–Robot Teams

The current state and future outlook of rescue robotics

Research toward IoT and Robotics in Intelligent Manufacturing: A Survey

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