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

  • Seyed Ali HassaniEmail author
  • Sofie Pollin
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 261)


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.


Software-defined radio Cross-layer architecture Cloud-based processing 



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


  1. 1.
    Wu, H., et al.: The tick programmable low-latency SDR system. In: MobiCom, Snowbird, Utah, USA, October 2017Google Scholar
  2. 2.
    Popovski, P., et al.: Ultra-reliable low-latency communication (URLLC): principles and building blocks. CoRR, abs/1708.07862 (2017)Google Scholar
  3. 3.
    Van den Bergh, B., Vermeulen, T., Verhelst, M., Pollin, S.: CLAWS: cross-layer adaptable wireless system enabling full cross-layer experimentation on real-time software-defined 802.15. 4. EURASIP J. Wirel. Commun. Netw. 2014(1), 187 (2014)CrossRefGoogle Scholar
  4. 4.
    MicroBlaze soft processor. Accessed 04 Apr 2018
  5. 5.
    Vermeulen, T., Van den Bergh, B., Pollin, S.: Demo: a software defined radio platform for rapid cross-layer prototyping, pp. 1–4 (2015)Google Scholar
  6. 6.
    Ni usrp-2942r - national instruments.
  7. 7.

Copyright information

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

Authors and Affiliations

  1. 1.Department of Electrical EngineeringKU LeuvenHeverleeBelgium

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