Abstract
Recent advances in communications and robotics enable myriad teleoperation applications, empowering real-time remote operation in various application areas such as healthcare, education, manufacturing, and aerial manipulation. The main problems in teleoperation systems are the time delay and packet loss caused by poor network conditions. Ultra-reliable Low-Latency Communication (URLLC), one of the key services of fifth-generation cellular communications (5G), is expected to enable real-time teleoperation by mitigating latency and reliability issues of pre-5G communications. In this study, we develop a 5G-enabled teleoperation testbed to conduct experiments on communication latency and packet loss, demonstrating the current capabilities of 5G communications for teleoperation applications. Furthermore, we propose a two-way timeout approach to reduce the communication latency. The proposed approach reduces the end-to-end (E2E) latency by limiting the waiting time for new packet reception. Extensive latency and packet loss experiments are conducted to demonstrate the superiority of the proposed approach compared to the benchmark approach without a timeout. The experimental results corroborate that the proposed approach can reduce E2E latency by up to 65% and improves overall reliability.
| Original language | English |
|---|---|
| Title of host publication | Towards Autonomous Robotic Systems - 24th Annual Conference, TAROS 2023, Proceedings |
| Editors | Fumiya Iida, Arsen Abdulali, Perla Maiolino, Mingfeng Wang |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 470-481 |
| Number of pages | 12 |
| ISBN (Print) | 9783031433597 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | Proceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023 - Cambridge, United Kingdom Duration: 13 Sep 2023 → 15 Sep 2023 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 14136 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Proceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023 |
|---|---|
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 13/09/23 → 15/09/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- 5G
- Low-Latency
- Robotics
- Teleoperation
- URLLC
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