Edge robotics: are we ready? an experimental evaluation of current vision and future directions
Cloud-based robotics systems leverage a wide range of Information Technologies (IT) to offer tangible benefits like cost reduction, powerful computational capabilities, data offloading, etc. However, the centralized nature of cloud computing is not well-suited for a multitude of Operational Technolo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-02-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822000888 |
| _version_ | 1811159933948788736 |
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| author | Milan Groshev Gabriele Baldoni Luca Cominardi Antonio de la Oliva Robert Gazda |
| author_facet | Milan Groshev Gabriele Baldoni Luca Cominardi Antonio de la Oliva Robert Gazda |
| author_sort | Milan Groshev |
| collection | DOAJ |
| description | Cloud-based robotics systems leverage a wide range of Information Technologies (IT) to offer tangible benefits like cost reduction, powerful computational capabilities, data offloading, etc. However, the centralized nature of cloud computing is not well-suited for a multitude of Operational Technologies (OT) nowadays used in robotics systems that require strict real-time guarantees and security. Edge computing and fog computing are complementary approaches that aim at mitigating some of these challenges by providing computing capabilities closer to the users. The goal of this work is hence threefold: i) to analyze the current edge computing and fog computing landscape in the context of robotics systems, ii) to experimentally evaluate an end-to-end robotics system based on solutions proposed in the literature, and iii) to experimentally identify current benefits and open challenges of edge computing and fog computing. Results show that, in the case of an exemplary delivery application comprising two mobile robots, the robot coordination and range can be improved by consuming real-time radio information available at the edge. However, our evaluation highlights that the existing software, wireless and virtualization technologies still require substantial evolution to fully support edge-based robotics systems. |
| first_indexed | 2024-04-10T05:50:11Z |
| format | Article |
| id | doaj.art-e56a556e691844fa85cbc2c11ed999a5 |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-04-10T05:50:11Z |
| publishDate | 2023-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-e56a556e691844fa85cbc2c11ed999a52023-03-05T04:24:52ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482023-02-0191166174Edge robotics: are we ready? an experimental evaluation of current vision and future directionsMilan Groshev0Gabriele Baldoni1Luca Cominardi2Antonio de la Oliva3Robert Gazda4University Carlos III of Madrid, Leganes, 28028, Madrid, Spain; Corresponding author.ZettaScale Technology SARL, Saint-Aubin, 91190, FranceZettaScale Technology SARL, Saint-Aubin, 91190, FranceUniversity Carlos III of Madrid, Leganes, 28028, Madrid, SpainInterDigital Inc., Wilmington, DE, 19809, USACloud-based robotics systems leverage a wide range of Information Technologies (IT) to offer tangible benefits like cost reduction, powerful computational capabilities, data offloading, etc. However, the centralized nature of cloud computing is not well-suited for a multitude of Operational Technologies (OT) nowadays used in robotics systems that require strict real-time guarantees and security. Edge computing and fog computing are complementary approaches that aim at mitigating some of these challenges by providing computing capabilities closer to the users. The goal of this work is hence threefold: i) to analyze the current edge computing and fog computing landscape in the context of robotics systems, ii) to experimentally evaluate an end-to-end robotics system based on solutions proposed in the literature, and iii) to experimentally identify current benefits and open challenges of edge computing and fog computing. Results show that, in the case of an exemplary delivery application comprising two mobile robots, the robot coordination and range can be improved by consuming real-time radio information available at the edge. However, our evaluation highlights that the existing software, wireless and virtualization technologies still require substantial evolution to fully support edge-based robotics systems.http://www.sciencedirect.com/science/article/pii/S2352864822000888Edge robotics experimental fog MEC Virtualization ROS Fog05 |
| spellingShingle | Milan Groshev Gabriele Baldoni Luca Cominardi Antonio de la Oliva Robert Gazda Edge robotics: are we ready? an experimental evaluation of current vision and future directions Digital Communications and Networks Edge robotics experimental fog MEC Virtualization ROS Fog05 |
| title | Edge robotics: are we ready? an experimental evaluation of current vision and future directions |
| title_full | Edge robotics: are we ready? an experimental evaluation of current vision and future directions |
| title_fullStr | Edge robotics: are we ready? an experimental evaluation of current vision and future directions |
| title_full_unstemmed | Edge robotics: are we ready? an experimental evaluation of current vision and future directions |
| title_short | Edge robotics: are we ready? an experimental evaluation of current vision and future directions |
| title_sort | edge robotics are we ready an experimental evaluation of current vision and future directions |
| topic | Edge robotics experimental fog MEC Virtualization ROS Fog05 |
| url | http://www.sciencedirect.com/science/article/pii/S2352864822000888 |
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