Secure Heterogeneous Multi-Robot Collaboration and Docking with Hyperledger Fabric Blockchain

Salimi, Salma; Morón, Paola Torrico; Queralta, Jorge Peña; Westerlund, Tomi

doi:10.1109/wf-iot54382.2022.10152244

Cited by 11 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, to ensure synchronization between various controllers, effective communication and collaboration strategies are required. This is a challenge for large-scale multi-robot systems because the complexity of interactions between robots increases the complexity of communication (Salimi et al, 2022 ). In addition, distributed control systems often require carefully designed coordination strategies, which makes them difficult to cope with dynamic environments and demand changes.…”

Section: Related Workmentioning

confidence: 99%

Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model

Wang,

Liu

2024

Front. Neurorobot.

View full text Add to dashboard Cite

IntroductionIn the field of logistics warehousing robots, collaborative operation and coordinated control have always been challenging issues. Although deep learning and reinforcement learning methods have made some progress in solving these problems, however, current research still has shortcomings. In particular, research on adaptive sensing and real-time decision-making of multi-robot swarms has not yet received sufficient attention.MethodsTo fill this research gap, we propose a YOLOv5-PPO model based on A3C optimization. This model cleverly combines the target detection capabilities of YOLOv5 and the PPO reinforcement learning algorithm, aiming to improve the efficiency and accuracy of collaborative operations among logistics and warehousing robot groups.ResultsThrough extensive experimental evaluation on multiple datasets and tasks, the results show that in different scenarios, our model can successfully achieve multi-robot collaborative operation, significantly improve task completion efficiency, and maintain target detection and environment High accuracy of understanding.DiscussionIn addition, our model shows excellent robustness and adaptability and can adapt to dynamic changes in the environment and fluctuations in demand, providing an effective method to solve the collaborative operation problem of logistics warehousing robots.

show abstract

Section: Related Workmentioning

confidence: 99%

Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model

Wang,

Liu

2024

Front. Neurorobot.

View full text Add to dashboard Cite

show abstract

“…The proposed implementation utilizing smart contracts and immutable ledgers provide a tamper-proof and trustworthy system for tracking coffee products [ 24 ]. Multi-robot collaboration in industrial applications, such as inventory management, requires efficient coordination and localization mechanisms [ 25 ]. To address this challenge, a framework has been proposed, integrating Hyperledger Fabric blockchain, UWB localization, and a multi-robot system for inventory management [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…Multi-robot collaboration in industrial applications, such as inventory management, requires efficient coordination and localization mechanisms [ 25 ]. To address this challenge, a framework has been proposed, integrating Hyperledger Fabric blockchain, UWB localization, and a multi-robot system for inventory management [ 25 ]. The framework ensures reliable data sharing, secure transactions, and accurate localization, enhancing the efficiency of inventory management in industrial settings [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

A Secure ZUPT-Aided Indoor Navigation System Using Blockchain in GNSS-Denied Environments

Shakerian,

Eghmazi,

Goasdoué

et al. 2023

Sensors

View full text Add to dashboard Cite

This paper proposes a novel Blockchain-based indoor navigation system that combines a foot-mounted dual-inertial measurement unit (IMU) setup and a zero-velocity update (ZUPT) algorithm for secure and accurate indoor navigation in GNSS-denied environments. The system estimates the user’s position and orientation by fusing the data from two IMUs using an extended Kalman filter (EKF). The ZUPT algorithm is employed to detect and correct the error introduced by sensor drift during zero-velocity intervals, thus enhancing the accuracy of the position estimate. The proposed Low SWaP-C blockchain-based decentralized architecture ensures the security and trustworthiness of the system by providing an immutable and distributed ledger to store and verify the sensor data and navigation solutions. The proposed system is suitable for various indoor navigation applications, including autonomous vehicles, robots, and human tracking. The experimental results provide clear and compelling evidence of the effectiveness of the proposed system in ensuring the integrity, privacy, and security of navigation data through the utilization of blockchain technology. The system exhibits an impressive ability to process more than 680 transactions per second within the Hyperledger-Fabric framework. Furthermore, it demonstrates exceptional accuracy and robustness, with a mean RMSE error of 1.2 m and a peak RMSE of 3.2 during a 20 min test. By eliminating the reliance on external signals or infrastructure, the system offers an innovative, practical, and secure solution for indoor navigation in environments where GNSS signals are unavailable.

show abstract

Decentralized Vision-Based Byzantine Agent Detection in Multi-robot Systems with IOTA Smart Contracts

Salimpour¹,

Keramat²,

Queralta³

et al. 2023

Foundations and Practice of Security

View full text Add to dashboard Cite

Secure Heterogeneous Multi-Robot Collaboration and Docking with Hyperledger Fabric Blockchain

Cited by 11 publications

References 30 publications

Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model

Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model

A Secure ZUPT-Aided Indoor Navigation System Using Blockchain in GNSS-Denied Environments

Decentralized Vision-Based Byzantine Agent Detection in Multi-robot Systems with IOTA Smart Contracts

Contact Info

Product

Resources

About