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 • 22 Sep 2023 • Robin Göransson, Volker Krueger
With the long-term goal of reducing the image processing time on an autonomous mobile robot in mind we explore in this paper the use of log-polar like image data with gaze control.
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 • 29 Jun 2023 • Matthias Mayr, Francesco Rovida, Volker Krueger
The need for autonomous robot systems in both the service and the industrial domain is larger than ever.
no code implementations • 16 May 2023 • Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krueger
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions.
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 Oct 2020 • Bjarne Grossmann, Francesco Rovida, Volker Krueger
In the context of future manufacturing lines, removing fixtures will be a fundamental step to increase the flexibility of autonomous systems in assembly and logistic operations.
no code implementations • 27 Apr 2020 • Bjarne Grossmann, Volker Krueger
The recent development of calibration algorithms has been driven into two major directions: (1) an increasing accuracy of mathematical approaches and (2) an increasing flexibility in usage by reducing the dependency on calibration objects.