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

• Published in: GLOBECOM 2022 - 2022 IEEE Global Communications Conference pp. 6349 - 6353
• Main Authors: Wang, Xiaolong, Feng, Yuchen, Gu, Xinjie, Long, Yuzhu, Mukherjee, Mithun, Fizza, Kaneez, Zhang, Qi, Guo, Mian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04-12-2022
• Subjects: High performance computing; Human computer interaction; Interactive systems; Manipulators; Performance evaluation; Surgery; Wireless communication
• DOI: 10.1109/GLOBECOM48099.2022.10001583

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.