AGIMUS is an EU-funded project that aims to revolutionize the manufacturing industry with breakthrough AI-powered agile production solutions.
The overall goal is to push the limits of perception, planning, and control in robotics, enabling general-purpose robots to be quick to set up, autonomous, and easily adaptable to changes in the manufacturing process. The project aims to introduce open-source solutions that leverage cutting-edge technologies to improve the overall efficiency of the manufacturing process as well as identify the essential ethical-by-design principles and guidelines that can maximize the acceptance and impact of its solutions.
AGIMUS aims to deliver an open-source breakthrough innovation in AI-powered agile production, introducing solutions that push the limits of perception, planning and control in robotics, enabling general-purpose robots to be quick to set up, autonomous and easily adaptable to changes in the manufacturing process.
To achieve such agile production, AGIMUS leverages on cutting-edge technologies and goes beyond the state-of-the-art to equip current mobile manipulators with a combination of (i) an advanced task and motion planner that can learn from online available video demonstrations; (ii) optimal control policies obtained from advances in reinforcement learning based on efficient differentiable physics simulations of the manufacturing process; as well as (iii) advanced perception algorithms able to handle objects and situations unseen during initial training. Along the way, optimization of energy efficiency and the use of 5G technology will support further pushing the limits of autonomy.
The AGIMUS solutions and their impact will be demonstrated and thoroughly stress-tested in 3 testing zones, as well as 3 industrial pilots in Europe, under numerous diverse real-world case studies and scenarios (different tools, environments, processes, etc.). In every step, and from the very beginning, AGIMUS will go beyond current norms and involve a wide range of stakeholders, starting from the production line itself, to identify the essential ethical-by-design principles and guidelines that can maximize acceptance and impact.