Robonomics Based on Blockchain as a Principle of Creating Smart Factories

Kapitonov, Aleksandr; Berman, Ivan; Bulatov, Vitaly; Lonshakov, Sergey; Krupenkin, Aleksandr

doi:10.1109/iotsms.2018.8554864

Cited by 11 publications

(11 citation statements)

References 35 publications

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“…To address the above challenge, a concept of robonomics is introduced by Kapitonov et al, [33]. Their work describes the organisation of a smart factory using multiple autonomous agents.…”

Section: A Industrial Robotsmentioning

confidence: 99%

“…Systems can be packed to enable an out of the box plug and play type scenario. Although increasing, a limited number of applications of ROS and DLT have been found including a ROS-Ethereum covenant bridging tool [49], ROS-Ethereum bridge for smart factories [33], a ROS2-Hyperledger Fabric application [50], and a Multyi-UAV system using ROS1 [51].…”

Section: A the Ros Operating Systemmentioning

confidence: 99%

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Applications of Distributed Ledger Technologies in Robotics

Clawson

2023

2023 IEEE/SICE International Symposium on System Integration (SII)

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Increasing convergence of virtual space and physical space driven by society 5.0 has propelled research in distributed ledgers to identify how trust in autonomous systems and robotics can be enabled through decentralised frameworks for decision making and consensus building. Industrial, multirobot systems, embedded systems, and more have seen growth in applications using distributed ledgers. Although progressing, implementations are currently ad-hoc with middleware systems, such as ROS, not yet adopting a standard to permit easy integration of these technologies. Nor is the technology readiness level of distributed ledgers easily identifiable. This creates challenges for adoption and system integration.

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“…To address the above challenge, a concept of robonomics is introduced by Kapitonov et al, [33]. Their work describes the organisation of a smart factory using multiple autonomous agents.…”

Section: A Industrial Robotsmentioning

confidence: 99%

Section: A the Ros Operating Systemmentioning

confidence: 99%

Applications of Distributed Ledger Technologies in Robotics

Clawson

2023

2023 IEEE/SICE International Symposium on System Integration (SII)

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“…Experiments were performed on OMNET++ with Ethereum as the blockchain platform using Proof-of-Work consensus algorithm. Kapitonov et al (2018) described the organization of smart factory for manufacturing mechanisms using multiple autonomous agents creating what they called robot economy. Authors presented market methods of organizing autonomous agents in smart factory setup.…”

Section: Related Workmentioning

confidence: 99%

A Survey on Blockchain in Robotics: Issues, Opportunities, Challenges and Future Directions

Aditya

Singh

et al. 2021

Journal of Network and Computer Applications

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“…Blockchain is one of the most significant techniques available for addressing integrity concerns in the IoT domain, and blockchain-based solutions for smart industry are abundant [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52]. According to our survey of blockchain-based DSM solutions, 80% of the solutions are based on the on-chain approach and its variants for their key functional requirements, such as network commissioning and transactions [23], [24], [25], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45]<...…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, concerning the holistic standpoint, ad hoc architectures for DSM have become a widespread practice. For instance, more than 85% of the selected blockchain-based literature covers ad hoc SAs without adequate AMP, model, or reasoning [23], [24], [25], [26], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50]. Ad hoc solutions exhibit severe constraints on customizability and adaptability with respect to the viewpoint of software engineering and system architects.…”

Section: Introductionmentioning

confidence: 99%

QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing

Siriweera,

Naruse

2023

IEEE Sensors J.

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The realm of the Industrial Internet of Things (IIoT) encompasses a broad spectrum of sensors that are integral to distributed smart manufacturing (DSM). The miscellaneous IIoT sensors deployed for DSM are distributed and operate in a hierarchical and federated structure. Nonetheless, fulfilling essential quality of service (QoS) requirements, such as ensuring security and privacy (integrity) while maintaining scalability and interoperability (robustness), poses a profound challenge for the DSM cloud service platform. Although blockchain technologies have been used to safeguard integrity, the first two generations have imposed constraints on robustness. In contrast, the third-generation blockchain, a.k.a. decentralized crosschain ecosystem, complements Web 3.0 and metaverse and can mitigate the constraints of previous generations. Moreover, blockchain-based ad hoc solutions for DSM use cases are abundant; they often suffer from limited adaptability and unique or homogeneous use cases from a software engineering perspective. A holistic architectural modeling process (AMP) leading to a software reference architecture (SRA) is preferred when alleviating ad hoc constraints. Therefore, we proposed an AMP for SRA for crosschain-based DSM that safeguards integrity while preserving robustness. In the work described in this article, we have conducted the following system-modeling process. First, we propose a novel software AMP for DSM. Second, we deduce a modeled SRA based on a crosschain. Third, we infer a modeled system architecture (SA). Empirical experiment results demonstrate that our proposed crosschain-based method outperforms the widely used on-chainbased method while achieving our objectives efficiently.

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Robonomics Based on Blockchain as a Principle of Creating Smart Factories

Cited by 11 publications

References 35 publications

Applications of Distributed Ledger Technologies in Robotics

Applications of Distributed Ledger Technologies in Robotics

A Survey on Blockchain in Robotics: Issues, Opportunities, Challenges and Future Directions

QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing

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