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A Low-Latency Wireless Network for Cloud-Based Robot Control

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Cognitive Radio Oriented Wireless Networks (CROWNCOM 2018)

Abstract

We demonstrate a reliable network for robot remote control in which a cross-layer PHY-MAC architecture is exploited to establish a low-latency and time-critical data transmission. In our demo, three reverse pendulum robots share the spectrum to communicate their sensory data to a processing unit which can instantly generate and transmit appropriate commands to maintain the robots’ balance.

To this end, we upgrade CLAWS (Cross-Layer Adaptable Wireless System) with a two-layer MAC platform which accelerates and facilities interrupt handling. To grant the network operational reliability, we elaborately coupled the FPGA-based IEEE 802.15.4 PHY in the CLAWS architecture with a set of hardware blocks that play the role of the low-level MAC. CLAWS also offers a run-time programmable module in which we deploy the high-level functionalities of the MAC protocol. Jointly with the implemented bi-layer MAC structure, we demonstrate how the CLAWS’ flexibility allows either standard compliant or ad-hoc network prototyping to establish a reliable cloud-based robot remote control.

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References

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Acknowledgement

This work was partially funded by the European Union’s Horizon 2020 under grant agreement no. 732174 (ORCA project).

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Correspondence to Seyed Ali Hassani .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hassani, S.A., Pollin, S. (2019). A Low-Latency Wireless Network for Cloud-Based Robot Control. In: Moerman, I., Marquez-Barja, J., Shahid, A., Liu, W., Giannoulis, S., Jiao, X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-05490-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-05490-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05489-2

  • Online ISBN: 978-3-030-05490-8

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