no code implementations • 9 Apr 2024 • Faseeh Ahmad, Matthias Mayr, Sulthan Suresh-Fazeela, Volker Krueger
In dynamic operational environments, particularly in collaborative robotics, the inevitability of failures necessitates robust and adaptable recovery strategies.
no code implementations • 27 Aug 2023 • Matthias Mayr, Faseeh Ahmad, Alexander Duerr, Volker Krueger
The transition to agile manufacturing, Industry 4. 0, and high-mix-low-volume tasks require robot programming solutions that are flexible.
1 code implementation • 18 Mar 2022 • Matthias Mayr, Faseeh Ahmad, Konstantinos Chatzilygeroudis, Luigi Nardi, Volker Krueger
We introduce an approach that provides a combination of task-level planning with targeted learning of scenario-specific parameters for skill-based systems.
Bayesian Optimization Multi-Objective Reinforcement Learning
1 code implementation • 27 Sep 2021 • Matthias Mayr, Konstantinos Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krueger
Reinforcement Learning (RL) is a powerful mathematical framework that allows robots to learn complex skills by trial-and-error.
no code implementations • 2 Mar 2019 • Faseeh Ahmad, Esra Erdem, Volkan Patoglu
This framework not only decides for a stable final configuration of the structure, but also computes the order of manipulation tasks for multiple autonomous robots to build the structure from an initial configuration, while simultaneously ensuring the stability, supportedness and other desired properties of the partial construction at each step of the plan.