Faseeh Ahmad
Faseeh Ahmad
Lund University
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Cited by
Cited by
Learning of Parameters in Behavior Trees for Movement Skills
M Mayr, K Chatzilygeroudis, F Ahmad, L Nardi, V Krueger
arXiv preprint arXiv:2109.13050, 2021
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
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
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
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
A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach
F Ahmad, E Erdem, V Patoglu
arXiv preprint arXiv:1903.00745, 2019
A hybrid planning approach to robot construction problems
F Ahmad
Hybrid Planning for Challenging Construction Problems: An Answer Set Programming Approach
F Ahmad, V Patoglu, E Erdem
Artificial Intelligence, 103902, 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
Revisiting robot construction problems as benchmarks for task and motion planning
F Ahmad, E Erdem, V Patoğlu
RSS, 2018
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