19 citations · 24 across the 11 of their papers we have counts for
5 papers · 1 filter
Flexible and Adaptive Manufacturing by Complementing Knowledge Representation, Reasoning and Planning with Reinforcement Learning
Matthias Mayr, Faseeh Ahmad, Volker Krueger
This paper describes a novel approach to adaptive manufacturing in the context of small batch production and customization. It focuses on integrating task-level planning and reason…
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks
Jonathan Styrud, Matthias Mayr, Erik Hellsten +2
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned ma…
Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks
Matthias Mayr, Faseeh Ahmad, Alexander Duerr +1
The transition to agile manufacturing, Industry 4.0, and high-mix-low-volume tasks require robot programming solutions that are flexible. However, most deployed robot solutions are…
SkiROS2: A skill-based Robot Control Platform for ROS
Matthias Mayr, Francesco Rovida, Volker Krueger
The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even "batch size 1" in pr…
Learning to Adapt the Parameters of Behavior Trees and Motion Generators (BTMGs) to Task Variations
Faseeh Ahmad, Matthias Mayr, Volker Krueger
The ability to learn new tasks and quickly adapt to different variations or dimensions is an important attribute in agile robotics. In our previous work, we have explored Behavior…