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Macroscopic Modeling of Aggregation Experiments using Embodied Agents in Teams of Constant and Time-Varying Sizes
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The design of any human-swarm interaction solution will require an understanding of the psychological effects induced on humans who interact with a robot swarm in order to favor interaction modalities that reduce stress and improve usability and trust.
“The design of any HSI solution will also require an understanding of the psychological effects induced on humans who interact with a robot swarm in order to favor interaction modalities that reduce stress [111], [112] and improve usability and trust [113].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [113]
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Metadata
- Authors
- Agassounon, W., Martinoli, A., & Easton, K.
- Affiliations
- Physical Sciences (United States) (US)
- École Polytechnique Fédérale de Lausanne (CH)
- California Institute of Technology (US)
- ORCID
- Martinoli, Alcherio
- Venue
- Autonomous Robots
- Published
- 2004-09
- Volume
- 17
- Issue
- 2-3
- Pages
- 163-192
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W1989028792
- Cited by
- 60
- References
- 44
- Citations by year
- 2024: 2 · 2022: 1 · 2021: 1 · 2019: 1 · 2018: 2 · 2016: 1 · 2015: 1 · 2014: 2 · 2013: 4 · 2012: 2
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Licence
- Locations
- Autonomous Robots (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Keywords
- macroscopic modeling, embodied agents, multi-agent systems, distributed control
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