Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots
Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov, Valerii Serpiva, Koffivi Fid`ele Gbagbe, Ali Alabbas, Aleksey Fedoseev, Luis Moreno, Muhammad Haris Khan, Ziang Guo, Dzmitry Tsetserukou
- 发表年份
- 2024
- 访问权限
- 开放获取
摘要
This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturing process based on user-provided natural language descriptions. By leveraging generative AI, the system automates critical aspects of production, including product blueprint design, component manufacturing, logistics, and assembly. A heterogeneous swarm of robots, each equipped with individual AI through integration with Large Language Models (LLMs), orchestrates the production process. The robotic system includes manipulator arms, delivery drones, and 3D printers capable of generating assembly blueprints. The system was evaluated using commercial and open-source LLMs, functioning through APIs and local deployment. A user study demonstrated that the system reduces the average production time to 119.10 minutes, significantly outperforming a team of expert human developers, who averaged 528.64 minutes (an improvement factor of 4.4). Furthermore, in the product blueprinting stage, the system surpassed human CAD operators by an unprecedented factor of 47, completing the task in 0.5 minutes compared to 23.5 minutes. This breakthrough represents a major leap towards fully autonomous manufacturing.
关键词
相关论文
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002
Swarm Intelligence
Eric Bonabeau, Marco Dorigo, Guy Théraulaz
1999
Design and use paradigms for gazebo, an open-source multi-robot simulator
Nathan Koenig, A. Howard
2005
Swarm robotics: a review from the swarm engineering perspective
Manuele Brambilla, Eliseo Ferrante, Mauro Birattari 等 4 位作者
2013