Unified framework for mixed-reality assisted situational adaptive robotic path planning enabled by 5G networks for deconstruction tasks

Wu, Chu Han; Zöcklein, Marit; Brell-Cokcan, Sigrid

doi:10.22260/ISARC2024/0022

Unified framework for mixed-reality assisted situational adaptive robotic path planning enabled by 5G networks for deconstruction tasks

Wu, Chu Han (Corresponding author)^RWTH* ; Zöcklein, Marit ; Brell-Cokcan, Sigrid^RWTH*

In
Proceedings of the 41th International Symposium on Automation and Robotics in Construction : Lille, France, June 3-5, 2024 / editors in chief: Gonzalez, Vicente A. (University of Alberta); Zhang, Jiansong (Purdue University); García de Soto, Borja (New York University Abu Dhabi), Brilakis, Ioannis (University of Cambridge) ; [International Association for Automation and Robotics in Construction], Seiten/Artikel-Nr: 160-167

2024

Konferenz/Event:41. International Symposium on Automation and Robotics in Construction , Lille , France , ISARC 2024 , 2024-06-03 - 2024-06-05

Impressum[Erscheinungsort nicht ermittelbar] : International Association on Automation and Robotics in Construction

Umfang160-167

ISBN978-0-6458322-1-1