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Marco Iannotta
Marco Iannotta
Doctoral Student, Örebro University
Verified email at oru.se
Title
Cited by
Cited by
Year
Random probabilistic circuits
N Di Mauro, G Gala, M Iannotta, TMA Basile
Uncertainty in Artificial Intelligence, 1682-1691, 2021
232021
A stack-of-tasks approach combined with behavior trees: A new framework for robot control
DC Domínguez, M Iannotta, JA Stork, E Schaffernicht, T Stoyanov
IEEE Robotics and Automation Letters 7 (4), 12110-12117, 2022
222022
A hierarchical fuzzy system for risk assessment of cardiovascular disease
G Casalino, R Grassi, M Iannotta, V Pasquadibisceglie, G Zaza
2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-7, 2020
212020
Evaluating behavior trees
S Gugliermo, DC Dominguez, M Iannotta, T Stoyanov, E Schaffernicht
Robotics and Autonomous Systems 178, 104714, 2024
112024
Heterogeneous full-body control of a mobile manipulator with behavior trees
M Iannotta, DC Domínguez, JA Stork, E Schaffernicht, T Stoyanov
arXiv preprint arXiv:2210.08600, 2022
22022
Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies
M Iannotta, Y Yang, JA Stork, E Schaffernicht, T Stoyanov
arXiv preprint arXiv:2511.04249, 2025
2025
The First WARA Robotics Mobile Manipulation Challenge--Lessons Learned
DC Domínguez, M Iannotta, A Kashyap, S Sun, Y Yang, C Cella, ...
arXiv preprint arXiv:2505.06919, 2025
2025
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning
M Iannotta, JA Stork, E Schaffernicht, T Stoyanov
arXiv preprint arXiv:2503.06309, 2025
2025
Holding Form in a Shifting World: Flexible and Reliable Robot Manipulation through Behavior Trees
M Iannotta
Örebro University, 2025
2025
The First WARA Robotics Mobile Manipulation Challenge-Lessons Learned
D Cáceres Domínguez, M Iannotta, A Kashyap, S Sun, Y Yang, C Cella, ...
European Conference on Mobile Robots (ECMR 2025), Padua, Italy, September 2 …, 2025
2025
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Articles 1–10