Amplifying robotics capacities with a human touch: An immersive low-latency panoramic remote system

[2401.03398] Amplifying robotics capacities with a human touch: An immersive low-latency panoramic remote system Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Computers and Society arXiv:2401.03398 (cs) [Submitted on 7 Jan 2024 ( v1 ), last revised 9 Jan 2024 (this version, v2)] Title: Amplifying robotics capacities with a human touch: An immersive low-latency panoramic remote system Authors: Junjie Li , Kang Li , Dewei Han , Jian Xu , Zhaoyuan Ma View a PDF of the paper titled Amplifying robotics capacities with a human touch: An immersive low-latency panoramic remote system, by Junjie Li and 3 other authors View PDF HTML (experimental) Abstract: AI and robotics technologies have witnessed remarkable advancements in the past decade, revolutionizing work patterns and opportunities in various domains. The application of these technologies has propelled society towards an era of symbiosis between humans and machines. To facilitate efficient communication between humans and intelligent robots, we propose the "Avatar" system, an immersive low-latency panoramic human-robot interaction platform. We have designed and tested a prototype of a rugged mobile platform integrated with edge computing units, panoramic video capture devices, power batteries, robot arms, and network communication equipment. Under favorable network conditions, we achieved a low-latency high-definition panoramic visual experience with a delay of 357ms. Operators can utilize VR headsets and controllers for real-time immersive control of robots and devices. The system enables remote control over vast physical distances, spanning campuses, provinces, countries, and even continents (New York to Shenzhen). Additionally, the system incorporates visual SLAM technology for map and trajectory recording, providing autonomous navigation capabilities. We believe that this intuitive system platform can enhance efficiency and situational experience in human-robot collaboration, and with further advancements in related technologies, it will become a versatile tool for efficient and symbiotic cooperation between AI and humans. Comments: 9 pages, 4 figures Subjects: Computers and Society (cs.CY) ; Robotics (cs.RO) Cite as: arXiv:2401.03398 [cs.CY] (or arXiv:2401.03398v2 [cs.CY] for this version) https://doi.org/10.48550/arXiv.2401.03398 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1007/978-3-032-07986-2_23 Focus to learn more DOI(s) linking to related resources Submission history From: Junjie Li [ view email ] [v1] Sun, 7 Jan 2024 06:55:41 UTC (15,605 KB) [v2] Tue, 9 Jan 2024 04:09:56 UTC (15,605 KB) Full-text links: Access Paper: View a PDF of the paper titled Amplifying robotics capacities with a human touch: An immersive low-latency panoramic remote system, by Junjie Li and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CY < prev | next > new | recent | 2024-01 Change to browse by: cs cs.RO References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... 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