Marco Iannotta
Marco Iannotta Befattning: Doktorand Organisation: Institutionen för naturvetenskap och teknikE-post: bWFyY28uaWFubm90dGE7b3J1LnNl
Telefon: Telefonnummer saknas
Rum: T2252a
Publikationer
Artiklar i tidskrifter |
Doktorsavhandlingar, sammanläggningar |
Konferensbidrag |
Proceedings (redaktörskap) |
Artiklar i tidskrifter
- 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]
Doktorsavhandlingar, sammanläggningar
- Iannotta, M. (2025). Holding Form in a Shifting World: Flexible and Reliable Robot Manipulation through Behavior Trees. (Doctoral dissertation). (Sammanläggning) Örebro: Örebro University. [BibTeX]
Konferensbidrag
- Cáceres Domínguez, D. , Iannotta, M. , Kashyap, A. , Sun, S. , Yang, Y. , Cella, C. , Colombo, M. , Pelosi, M. & et al. (2025). The First WARA Robotics Mobile Manipulation Challenge - Lessons Learned. I: Antonios Gasteratos; Nicola Bellotto; Stefano Tortora, 2025 European Conference on Mobile Robots (ECMR). Konferensbidrag vid European Conference on Mobile Robots (ECMR 2025), Padua, Italy, September 2-5, 2025. IEEE. [BibTeX]
- Iannotta, M. , Caceres Dominguez, D. , Stork, J. A. , Schaffernicht, E. & Stoyanov, T. (2022). Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. I: IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence (MOMA): Challenges and Opportunities. Konferensbidrag vid International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. [BibTeX]
Proceedings (redaktörskap)
- 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]