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Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario
Open accessAbstract
While swarm robotics systems are often claimed to be highly fault-tolerant, so far research has limited its attention to safe laboratory settings and has virtually ignored security issues in the presence of Byzantine robots---i.e., robots with arbitrarily faulty or malicious behavior. However, in many applications one or more Byzantine robots may suffice to let current swarm coordination mechanisms fail with unpredictable or disastrous outcomes. In this paper, we provide a proof-of-concept for managing security issues in swarm robotics systems via blockchain technology. Our approach uses decentralized programs executed via blockchain technology (blockchain-based smart contracts) to establish secure swarm coordination mechanisms and to identify and exclude Byzantine swarm members. We studied the performance of our blockchain-based approach in a collective decision-making scenario both in the presence and absence of Byzantine robots and compared our results to those obtained with an existing collective decision approach. The results show a clear advantage of the blockchain approach when Byzantine robots are part of the swarm.
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“On the other hand, generic robots (alice [19], [57] and e-puck [37]) have been used to produce proofs of concept, often addressing tasks that are a direct transposition in the artificial world of analogous tasks performed by self-organized natural systems (e.g., foraging [13], [34]).”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [19]
In the citing paper
“We believe that this situation can be improved and that robot swarms could truly help biologists, providing artificial, controllable models to study the effects of embodiment, perception, action, and the individual cognitive requirements necessary to support collective behavior [19], [73].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [19]
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Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001
Blockchain in Industries: A Survey
Al‐Jaroodi, J., & Mohamed, N. (2019) · IEEE Access · doi:10.1109/access.2019.2903554 · Cited by 589
Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 431
Self-citationBlockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions
Verma, A., Bhattacharya, P., Madhani, N., Trivedi, C., Bhushan, B., Tanwar, S., Sharma, G., Bokoro, P., & Sharma, R. (2022) · IEEE Access · doi:10.1109/access.2022.3186892 · Cited by 108
Strobel, V., Castelló Ferrer, E., & Dorigo, M. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00054 · Cited by 127
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Metadata
- Authors
- Strobel, V., Castelló Ferrer, E., & Dorigo, M.
- Affiliations
- Université Libre de Bruxelles (BE)
- Venue
- International Joint Conference on Autonomous Agents and Multiagent Systems
- Publisher
- IEEE Computer Society
- Published
- 2018-07-09
- Pages
- 541-549
- ISSN
- 1548-8403 (ISSN-L)
- 1558-2914
- OpenAlex
- W2808250907
- Cited by
- 149
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 10 · 2023: 21 · 2022: 17 · 2021: 34 · 2020: 26 · 2019: 28 · 2018: 4
- FWCI
- 18.05
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-sa
- Locations
- Adaptive Agents and Multi-Agents Systems (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Adaptive Agents and Multi-Agents Systems
- Funders
- Fonds De La Recherche Scientifique - FNRS
- H2020 Marie Skłodowska-Curie Actions
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Keywords
- swarm robotics, blockchain, smart contracts, group decision making, swarm coordination, fault tolerance, robot security, distributed coordination
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