Communication–Control Co-Design in Wireless Networks: A Cloud Control AGV Example

Qiao, Yue; Fu, Yusun; Yuan, Muyun

doi:10.1109/jiot.2022.3211766

Cited by 14 publications

(2 citation statements)

References 25 publications

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“…The best-effort communication protocol is currently a hindrance to 5G. These problems may be solved in the future by improving the performance specifications of 5G [42]. Therefore, the problems that exist in the application of AGV are also a focus of this study.…”

Section: Agv For Automatic Loadingmentioning

confidence: 99%

Key Issues on Integrating 5G into Industrial Systems

Sun,

Chen,

Wang

et al. 2024

Electronics

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Under the auspice of further developing 5G mobile communication technology and integrating it with the latest advancements in the field of Industrial Internet-of-Things, this study conducts in-depth research and detailed analysis on the combination of 5G with industrial systems based on composite structures, communication network architectures, wireless application scenarios, and communication protocols. The status quo, development trend, and necessity of 5G mobile communication technology are explored and its potential in industrial applications is analyzed. Based on the current practical development level of 5G technology, by considering different requirements for bandwidth, real-time performance, and reliability in communication networks of industrial systems, this study proposes three feasible paths for the integration between 5G and industrial systems, including the method to use 5G in place of field buses. Finally, by introducing real-world cases, this study has successfully demonstrated the integration of 5G and industrial systems by extending 5G terminals as field bus gateways. This study provides valuable references for research and practice in related fields.

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Section: Agv For Automatic Loadingmentioning

confidence: 99%

Key Issues on Integrating 5G into Industrial Systems

Sun,

Chen,

Wang

et al. 2024

Electronics

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“…This way, the mobile robot is able to follow the leader (human), whether in front, side-by-side, or behind the robot. The cutting-edge communication-control co-design is presented in the paper by Qiao and Yuan (2022) and applied to an AGV [19]. Indeed, this work analyzes and summarizes the existing communication-control co-design methods and shows as a challenging use case the cloud control of an automated guided vehicle (AGV) in a future factory.…”

Section: Related Workmentioning

confidence: 99%

Development and Experimental Validation of Control Algorithm for Person-Following Autonomous Robots

et al. 2023

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Automatic guided vehicles, in particular, and industrial autonomous mobile robots, in general, are commonly used to automate intralogistics processes. However, there are certain logistic tasks, such as picking objects of variable sizes, shapes, and physical characteristics, that are very difficult to handle fully automatically. In these cases, the collaboration between humans and autonomous robots has been proven key for the efficiency of industrial processes and other applications. To this aim, it is necessary to develop person-following robot solutions. In this work, we propose a fully autonomously controlling autonomous robotic interaction for environments with unknown objects based on real experiments. To do so, we have developed an active tracking system and a control algorithm to implement the person-following strategy on a real industrial automatic-guided vehicle. The algorithm analyzes the cloud of points measured by light detection and ranging (LIDAR) sensor to detect and track the target. From this scan, it estimates the speed of the target to obtain the speed reference value and calculates the direction of the reference by a pure-pursuit algorithm. In addition, to enhance the robustness of the solution, spatial and temporal filters have been implemented to discard obstacles and detect crossings between humans and the automatic industrial vehicle. Static and dynamic test campaigns have been carried out to experimentally validate this approach with the real industrial autonomous-guided vehicle and a safety LIDAR.

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