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Towards the Legibility of Multi-robot Systems

Bibliographic Data

ID22190813
AuthorsBeatrice Capelli (0000-0002-2768-7557, University of Modena and Reggio Emilia), Maria Santos (0000-0001-9297-4539, Princeton University), Lorenzo Sabattini (0000-0002-2734-5549, University of Modena and Reggio Emilia)
Year2024
Volume13
Issue2
Pages1-32
Publication date2024-06-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3647984
OpenAlexW4391946556
LanguageEN
Citations received1
References cited65

Communication is crucial for human-robot collaborative tasks. In this context, legibility studies movement as the means of implicit communication between robotic systems and a human observer. This concept has been explored mostly for manipulators and humanoid robots. In contrast, little information is available in the literature about legibility of multi-robot systems or swarms, where simplicity and non-anthropomorphism of robots, along with the complexity of their interactions and aggregated behavior impose different challenges that are not encountered in single-robot scenarios. This article investigates legibility of multi-robot systems. Hence, we extend the definition of legibility, incorporating information about high-level goals in terms of the coordination objective of the group of robots, to previous results that focused solely on the legibility of spatial goals. A set of standard multi-robot algorithms corresponding to different coordination objectives are implemented and their legibility is evaluated in a user study, where participants observe the behavior of the multi-robot system in a virtual reality setup and are asked to identify the system’s spatial goal and coordination objective. The results of the study confirmed that coordination objectives are discernible by the users, hence multi-robot systems can be controlled to be legible, in terms of spatial goal and coordination objective

Computer vision · Geography · Human–computer interaction · Human–robot interaction · Legibility · Robot · Computer Science · Modular Robots and Swarm Intelligence · Robotic Locomotion and Control · Social Robot Interaction and HRI · Artificial Intelligence

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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