Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels

Xiaolong Wang, Yuchen Feng, Xinjie Gu, Yuzhu Long, Mithun Mukherjee, Kaneez Fizza, Qi Zhang, Mian Guo

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review


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.

Titel2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
Antal sider5
Publikationsdatodec. 2022
ISBN (Trykt)978-1-6654-3541-3
ISBN (Elektronisk)978-1-6654-3540-6
StatusUdgivet - dec. 2022
BegivenhedIEEE Global Communications Conference 2022: Hybrid: In-Person and Virtual Conference Accelerating the Digital Transformation through Smart Communications - Rio de Janeiro, Brasilien
Varighed: 4 dec. 20228 dec. 2022


KonferenceIEEE Global Communications Conference 2022
ByRio de Janeiro


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