ArticleFrontiers in robotics and AI2020
Blockchain Technology Secures Robot Swarms: A Comparison of Consensus Protocols and Their Resilience to Byzantine Robots.
Article in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- On the ethical governance of swarm robotic systems in the real world.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Toward a Generic Framework for Mission Planning and Execution with a Heterogeneous Multi-Robot System.Sensors (Basel, Switzerland) · 2024Article
- A blockchain-based information market to incentivise cooperation in swarms of self-interested robots.Scientific reports · 2023Article
- Analysis of distributed ledger technologies for industrial manufacturing.Scientific reports · 2022Article
- Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations.International journal of information security · 2022Article
- Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics.IEEE access : practical innovations, open solutions · 2021Article
- On the Design of Social Robots Using Sheaf Theory and Smart Contracts.Frontiers in robotics and AI · 2021Article
- Towards a Blockchain-Based Multi-UAV Surveillance System.Frontiers in robotics and AI · 2021Article
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Authors and funding
3 authors.
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Abstract
Consensus achievement is a crucial capability for robot swarms, for example, for path selection, spatial aggregation, or collective sensing. However, the presence of malfunctioning and malicious robots (Byzantine robots) can make it impossible to achieve consensus using classical consensus protocols. In this work, we show how a swarm of robots can achieve consensus even in the presence of Byzantine robots by exploiting blockchain technology. Bitcoin and later blockchain frameworks, such as Ethereum, have revolutionized financial transactions. These frameworks are based on decentralized databases (blockchains) that can achieve secure consensus in peer-to-peer networks. We illustrate our approach in a collective sensing scenario where robots in a swarm are controlled via blockchain-based smart contracts (decentralized protocols executed via blockchain technology) that serve as "meta-controllers" and we compare it to state-of-the-art consensus protocols using a robot swarm simulator. Additionally, we show that our blockchain-based approach can prevent attacks where robots forge a large number of identities (Sybil attacks). The developed robot-blockchain interface is released as open-source software in order to facilitate future research in blockchain-controlled robot swarms. Besides increasing security, we expect the presented approach to be important for data analysis, digital forensics, and robot-to-robot financial transactions in robot swarms.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.