Marco Iannotta
Marco Iannotta Position: Doctoral Student School/office: School of Science and TechnologyEmail: bWFyY28uaWFubm90dGE7b3J1LnNl
Phone: No number available
Room: T2252a
Research subject
Research environments
About Marco Iannotta
I am a PhD student part of the CoAIRob (Collaborative AI and Robotics) research school and also WASP-affiliated.
My research focuses on the development of robots that can generalize their skills to new circumstances and scenarios.
Publications
Articles in journals |
Conference papers |
Conference proceedings (editor) |
Doctoral theses, comprehensive summaries |
Articles in journals
- Gugliermo, S. , Caceres Dominguez, D. , Iannotta, M. , Stoyanov, T. & Schaffernicht, E. (2024). Evaluating behavior trees. Robotics and Autonomous Systems, 178. [BibTeX]
- Caceres Dominguez, D. , Iannotta, M. , Stork, J. A. , Schaffernicht, E. & Stoyanov, T. (2022). A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics and Automation Letters, 7 (4), 12110-12117. [BibTeX]
Conference papers
- Iannotta, M. , Caceres Dominguez, D. , Stork, J. A. , Schaffernicht, E. & Stoyanov, T. (2022). 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. Paper presented at International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. [BibTeX]
Conference proceedings (editor)
- Iannotta, M. (ed.) , Stork, J. A. (ed.) , Schaffernicht, E. (ed.) & Stoyanov, T. (ed.) (2025). On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning.. Springer. [BibTeX]
Doctoral theses, comprehensive summaries
- Iannotta, M. (2025). Holding Form in a Shifting World: Flexible and Reliable Robot Manipulation through Behavior Trees. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University. [BibTeX]