Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1995 …, 2022 | 23 | 2022 |
Learning of parameters in behavior trees for movement skills M Mayr, K Chatzilygeroudis, F Ahmad, L Nardi, V Krueger 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 20 | 2021 |
Combining planning, reasoning and reinforcement learning to solve industrial robot tasks M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger arXiv preprint arXiv:2212.03570, 2022 | 11 | 2022 |
Generalizing behavior trees and motion-generator (btmg) policy representation for robotic tasks over scenario parameters F Ahmad, M Mayr, EA Topp, J Malec, V Krueger 2022 IJCAI Planning and Reinforcement Learning Workshop, 2022 | 8 | 2022 |
Using knowledge representation and task planning for robot-agnostic skills on the example of contact-rich wiping tasks M Mayr, F Ahmad, A Duerr, V Krueger 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 7 | 2023 |
Learning to adapt the parameters of behavior trees and motion generators (btmgs) to task variations F Ahmad, M Mayr, V Krueger 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 6 | 2023 |
Learning to adapt the parameters of behavior trees and motion generators to task variations F Ahmad, M Mayr, V Krueger arXiv preprint arXiv:2303.08209, 2023 | 3 | 2023 |
A formal framework for robot construction problems: A hybrid planning approach F Ahmad, E Erdem, V Patoglu arXiv preprint arXiv:1903.00745, 2019 | 1 | 2019 |
A hybrid planning approach to robot construction problems F Ahmad | 1 | 2019 |
Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management F Ahmad, M Mayr, S Suresh-Fazeela, V Kreuger arXiv preprint arXiv:2404.06129, 2024 | | 2024 |
Flexible and Adaptive Manufacturing by Complementing Knowledge Representation, Reasoning and Planning with Reinforcement Learning M Mayr, F Ahmad, V Krueger arXiv preprint arXiv:2311.09353, 2023 | | 2023 |
Hybrid planning for challenging construction problems: An Answer Set Programming approach F Ahmad, V Patoglu, E Erdem Artificial Intelligence 319, 103902, 2023 | | 2023 |
How to Set Up & Learn New Robot Tasks with Explainable Behaviors? M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger European Robotics Forum, 2022 | | 2022 |
Revisiting robot construction problems as benchmarks for task and motion planning F Ahmad, E Erdem, V Patoğlu RSS, 2018 | | 2018 |