| 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 | 42 | 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 | 27 | 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 | 17 | 2022 |
| 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 | 14 | 2023 |
| 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 | 9 | 2023 |
| 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 |
| Addressing failures in robotics using vision-based language models (vlms) and behavior trees (bt) F Ahmad, J Styrud, V Krueger European Robotics Forum, 281-287, 2025 | 6 | 2025 |
| Adaptable recovery behaviors in robotics: a behavior trees and motion generators (btmg) approach for failure management F Ahmad, M Mayr, S Suresh-Fazeela, V Krueger 2024 IEEE 20th International Conference on Automation Science and …, 2024 | 5 | 2024 |
| Hybrid planning for challenging construction problems: An Answer Set Programming approach F Ahmad, V Patoglu, E Erdem Artificial Intelligence 319, 103902, 2023 | 4 | 2023 |
| A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees F Ahmad, H Ismail, J Styrud, M Stenmark, V Krueger arXiv preprint arXiv:2503.15202, 2025 | 3 | 2025 |
| Learning to adapt the parameters of behavior trees and motion generators to task variations F Ahmad, M Mayr, V Krueger 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems., 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 | 2 | 2019 |
| 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 | 1 | 2023 |
| A hybrid planning approach to robot construction problems F Ahmad | 1 | 2019 |
| Towards self-reliant robots: skill learning, failure recovery, and real-time adaptation: integrating behavior trees, reinforcement learning, and vision-language models for … F Ahmad | | 2025 |
| Vision-Based Language Models (VLMs) and Behavior Trees (BT) F Ahmad, J Styrud, V Krueger¹ European Robotics Forum 2025: Boosting the Synergies between Robotics and AI …, 2025 | | 2025 |
| Hybrid planning for challenging construction problems: an answer set programming approach (abstract reprint) F Ahmad, V Patoglu, E Erdem Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| 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 |
| Introducing Adaptive Recovery Behaviors in Behavior Trees F Ahmad, M Mayr, V Krueger | | |
