Publisher:
Association for Computing Machinery (ACM)
Issued date:
2021-06-25
Citation:
Groshev, M., Martín, J., Antevski, K., de la Oliva, A. & Bernardos, C. J. (25 June 2021). COTORRA: Context-Aware testbed for robotic applications. In: MobileServerless'21: Proceedings of the 1st Workshop on Serverless mobile networking for 6G Communications, June 2021, (Virtual conference). ACM, 2021, Pp. 7-12
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission
Sponsor:
This work has been partially funded by the EU H2020 5GROWTH Project (grant no. 856709) and by the H2020 collaborative Europe/Taiwan research project 5G-DIVE (grant no. 859881).
Edge computing have received considerable attention as a promising candidate for the evolution of robotic systems. In this work, we propose COTORRA, an Edge driven robotic testbed that combines context information with robot sensor data to validate innovative Edge computing have received considerable attention as a promising candidate for the evolution of robotic systems. In this work, we propose COTORRA, an Edge driven robotic testbed that combines context information with robot sensor data to validate innovative concepts for robotic systems prior to being applied in a production environment. We have tested COTORRA in a controlled university environment as an easy applicable, serverless, and modular testbed on top of commodity network infrastructure. COTORRA supports pluggable robotic applications. To verify its feasibility and assess its performance, we ran a set of experiments that show how autonomous navigation applications can achieve target latencies bellow 15 ms, and perform an inter-domain Distributed Ledger Technology (DLT) federation within 19 seconds.[+][-]
Description:
Proceedings of: 1st Workshop on Serverless mobile networking for
6G Communications, 25 June 2021, Virtual conference