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Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels
Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
DOI
- https://doi.org/10.1109/GLOBECOM48099.2022.10001583
Forlagets udgivne version
- Xiaolong Wang, Nanjing University of Information Science & Technology ,
- Yuchen Feng, Nanjing University of Information Science & Technology ,
- Xinjie Gu, Nanjing University of Information Science & Technology ,
- Yuzhu Long, Nanjing University of Information Science & Technology ,
- Mithun Mukherjee, Nanjing University of Information Science & Technology ,
- Kaneez Fizza, Swinburne University of Technology ,
- Qi Zhang
- Mian Guo, Guangdong Polytechnic Normal University
Human-computer interaction provides pervasive services advocating several exciting interactive systems, such as remote automation, surgery, and rehabilitation. This paper studies a tight synchronization between human and robot hands to establish near to real-time maneuvering. We leverage the computing resources of the participating units of the master domain to determine the useful data by overserving and predicting the immediate reaction of the human hand movement. Moreover, we consider the unreliable wireless channels that lead to packet error during data transmission from the master domain to the controlled domain. In particular, by bringing the concept of edge computing while utilizing the Raspberry Pis's available yet limited computing resources, we aim to determine the balance between useful data and redundant packets without any significant performance degradation. Finally, we implement the proposed synchronization method of human-robot arm interactions in a real testbed and compare the performance with baselines.
| Originalsprog | Engelsk |
|---|---|
| Titel | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings |
| Antal sider | 5 |
| Forlag | IEEE |
| Udgivelsesår | dec. 2022 |
| Sider | 6349-6353 |
| ISBN (trykt) | 978-1-6654-3541-3 |
| ISBN (Elektronisk) | 978-1-6654-3540-6 |
| DOI | |
| Status | Udgivet - dec. 2022 |
| Begivenhed | IEEE Global Communications Conference 2022: Hybrid: In-Person and Virtual Conference Accelerating the Digital Transformation through Smart Communications - Rio de Janeiro, Brasilien Varighed: 4 dec. 2022 → 8 dec. 2022 https://globecom2022.ieee-globecom.org/ |
Konference
| Konference | IEEE Global Communications Conference 2022 |
|---|---|
| Land | Brasilien |
| By | Rio de Janeiro |
| Periode | 04/12/2022 → 08/12/2022 |
| Internetadresse |
Se relationer på Aarhus Universitet Citationsformater
ID: 300978921