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id caadria2022_519
authors Vaidhyanathan, Vishal and Raja, Twisha
year 2022
title (e)mulate AEC: A Gestural Pedagogy and Cloud-based Collaborative Management Paradigm for On-site Robotics in Construction
source Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 51-60
doi https://doi.org/10.52842/conf.caadria.2022.2.051
summary With about $10 trillion in annual revenue ‚ contributing to almost 6% of the global GDP, construction is one of the largest industries. However, with "Industry 4.0‚ causing paradigm shifts in other industries, construction has failed to be as efficient and technologically fluent. There have been issues of deteriorating labour productivity. This calls for on-site technological task automation to increase efficiency and abate workforce requirements. Robots in construction can be a great way to expedite and automate this process, as robotic construction is much more efficient in terms of operation and cost. They can complement and augment conventional construction methods and craft-based fabrication with a high level of efficiency. Robots in construction are being increasingly and ubiquitously used in large scale construction sites for performing several, different tasks in tandem, with humans. Programming these robots to perform specific tasks, however, is a highly skill demanding process, necessitating expertise in robotic coding and path planning. It is also impossible to robotically replicate specialized tasks with the same craftsmanship through conventional robot programming methods, as it is a mode of tacit knowledge transfer. Using several robots on-site for different tasks also calls for an efficient network and management system. This paper discusses a new paradigm of teaching industrial robots with natural gestures, and a cloud-based management system to synchronize all robots on-site. A prototype was built to teach simple toolpaths to robots of different scales using gestures. All taught toolpaths were synchronized to all robots through the cloud-based interface. Scalability of toolpaths between two different robots (ABB IRB6640 and ABB IRB120) after cloud synchronization was demonstrated. It was experimentally concluded that gestural robot programming with cloud-sync, enabled expedited teaching times, and no skill-gap in programming robotic tool paths.
keywords Architectural Robotics, Gesture Based Programming, Human Computer Interaction, Cloud Computing, SDG 9
series CAADRIA
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