The MAS4AI framework for human-centered agile and smart manufacturing

A Sidorenko, W Motsch, M van Bekkum… - Frontiers in Artificial …, 2023 - frontiersin.org
Volatility and uncertainty of today's value chains along with the market's demands for low-
batch customized products mandate production systems to become smarter and more …

Dynamic replanning using multi-agent systems and asset administration shells

S Jungbluth, J Hermann, W Motsch… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
To improve the fault tolerance of production systems against unforeseen events, modern
production systems must be able to react more autonomously with suitable solutions to …

Dynamic collision and deadlock avoidance for multiple robotic manipulators

N Gafur, G Kanagalingam, A Wagner… - IEEE Access, 2022 - ieeexplore.ieee.org
A flexible operation of multiple robotic manipulators operating in a dynamic environment
requires online trajectory planning to ensure collision-free trajectories. In this work, we …

Utilizing multi-agent deep reinforcement learning for flexible job shop scheduling under sustainable viewpoints

J Popper, W Motsch, A David… - 2021 International …, 2021 - ieeexplore.ieee.org
Current trends place great demands on the flexibility and sustainability of modern production
facilities. The optimisation of these Flexible Job Shop Scheduling Problems (FJSSP) under …

Electrical energy consumption interface in modular skill-based production systems with the asset administration shell

W Motsch, A Sidorenko, A David, P Rübel… - Procedia …, 2021 - Elsevier
Modular production systems provide the opportunity to react more flexibly to customer-
individual requirements resulting in smaller batch sizes. The implementation of capabilities …

Using multi-agent deep reinforcement learning for flexible job shop scheduling problems

J Popper, M Ruskowski - Procedia CIRP, 2022 - Elsevier
The flexibilization and increase of new production concepts such as matrix manufacturing
with the help of autonomous logistics robots (AGVs) pose new challenges to production …

[HTML][HTML] Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function

V Yfantis, S Wenzel, A Wagner, M Ruskowski… - EURO Journal on …, 2023 - Elsevier
In this paper, two new algorithms for dual decomposition-based distributed optimization are
presented. Both algorithms rely on the quadratic approximation of the dual function of the …

Multi-Arm Trajectory Planning for Optimal Collision-Free Pick-and-Place Operations

D Mateu-Gomez, FJ Martínez-Peral, C Perez-Vidal - Technologies, 2024 - mdpi.com
This article addresses the problem of automating a multi-arm pick-and-place robotic system.
The objective is to optimize the execution time of a task simultaneously performed by …

Developing a skill-based flexible transport system using OPC UA

S Jungbluth, T Barth, J Nußbaum… - at …, 2023 - degruyter.com
Abstract Cyber-Physical Production Modules (CPPMs) must be described by vendor-
independent and machine-readable standardized information models. Standards make …

Dynamic collision avoidance for multiple robotic manipulators based on a non-cooperative multi-agent game

N Gafur, G Kanagalingam, M Ruskowski - arXiv preprint arXiv:2103.00583, 2021 - arxiv.org
A flexible operation of multiple robotic manipulators in a shared workspace requires an
online trajectory planning with static and dynamic collision avoidance. In this work, we …