Marco Iannotta

Marco Iannotta

PhD student

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T2252a
Phone
marco.iannotta@oru.se

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I am a doctoral student in Computer Science at Örebro University. My research focuses on the application of Behavior Trees in the context of robot manipulation. The goal is to develop robot policies that are interpretable, modular and adaptive to different environmental conditions and scenarios.

B.Eng. in Building Engineering, Polytechnic University of Bari.
B.Sc. in Computer Science, University of Bari.
M.Sc. in Computer Science – Knowledge Engineering and Machine Intelligence, University of Bari.


Publications

Journal Articles

[1] S. Gugliermo, D. C. Dominguez, M. Iannotta, T. Stoyanov and E. Schaffernicht. Evaluating behavior trees. Robotics and Autonomous Systems, 178, 2024 [ BibTeX | DiVA ]
[2] D. C. Dominguez, M. Iannotta, J. A. Stork, E. Schaffernicht and T. Stoyanov. A Stack-of-Tasks Approach Combined With Behavior Trees : A New Framework for Robot Control. IEEE Robotics and Automation Letters, 7(4):12110-12117, 2022 [ BibTeX | DiVA ]

Refereed Conference and Workshop Articles

[1] M. Iannotta, D. C. Dominguez, J. A. Stork, E. Schaffernicht and T. Stoyanov. Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. In IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence (MOMA): Challenges and  Opportunities 2022 [ BibTeX | DiVA | PDF ]

Theses

[1] M. Iannotta. Holding Form in a Shifting World : Flexible and Reliable Robot Manipulation through Behavior Trees. Örebro University, School of Science and Technology, Ph.D. Thesis, 2025 [ BibTeX | DiVA ]