Cumincad : CUMINCAD Papers : Paper cdrf2023_368:DeepCraft: Co-Intelligent Architecture and Human and AI-Driven Craftsmanship in Design-to-Production Pipelines

id	cdrf2023_368
authors	Peter Buš
year	2023
title	DeepCraft: Co-Intelligent Architecture and Human and AI-Driven Craftsmanship in Design-to-Production Pipelines
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_31
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	The working paper investigates the potential of artificial intelligence technologies (AI), namely the Generative Adversarial Imitation Learning (GAIL) implemented in a process of digital robotic fabrication prospectively to be used in craftsmanship. The method introduced is based on a preliminary demonstration provided digitally in an abstract toolpath generated by a human-driven movement in a hand gesture translated into a digital space in a real-time process. The investigation presented in this paper focuses on a preliminary computational digital framework which may serve as a base for further investigation. At this stage of the report, the framework encompasses human hand recognition creating a toolpath for a robot, which learns its principles and tries to interpret the process in a digital space. This learned toolpath resulted in a digital brain being applied again in a different shape of the human-created toolpath or gesture movement. The paper also presents the computational system of the real-time navigation of the robot based on a human gesture in a virtual space. The learned knowledge by a robot is observed in a digital environment before any physical applications.
series	cdrf
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last changed	2024/05/29 14:04