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个人简介
My research focuses on the intersection of computer vision, machine learning, and control theory. On one side, I am interested in representations that enable the efficient combination of scene understanding and decision-making algorithms. These can vary from bird's eye view scene and map understanding in autonomous driving to using NeRFs for active 3D reconstruction. On the other side, I am interested in learning safe multi-agent policies directly from data, using principles from control and game theory to guide the learning process. Such methods can, for example, directly learn driving policies from human driving data and can be used for motion prediction, interactive motion planning, or data-driven simulation. The combination of better representations and policy learning will allow us to develop models that pave the path for truly autonomous robotic systems.
研究兴趣
论文共 60 篇作者统计合作学者相似作者
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CoRR (2023): 1671-1678
CoRR (2023): 1663-1670
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA (2023): 1522-1529
Ayoub Raji,Danilo Caporale,Francesco Gatti, Andrea Giove,Micaela Verucchi, Davide Malatesta, Nicola Musiu, Alessandro Toschi, Silviu Roberto Popitanu, Fabio Bagni, Massimiliano Bosi,Alexander Liniger,
CoRR (2023)
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 5582-5589
Machine Intelligence Researchno. 1 (2023): 92-108
CoRR (2023)
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 8557-8567
Ayoub Raji, Nicola Musiu, Alessandro Toschi, Francesco Prignoli, Eugenio Mascaro, Pietro Musso, Francesco Amerotti,Alexander Liniger, Silvio Sorrentino,Marko Bertogna
CoRR (2023): 782-789
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