Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Pietro Mazzaglia

ORCID iD: 0000-0003-3319-5986

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Representing positional information in generative world models for object manipulation

Stefano Ferraro (UGent) , Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Bart Dhoedt (UGent) and Sai Rajeswar

(2025) ECAI 2025. In Frontiers in Artificial Intelligence and Applications 413. p.2714-2721
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FOCUS : object-centric world models for robotic manipulation

Stefano Ferraro (UGent) , Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2025) FRONTIERS IN NEUROROBOTICS. 19.
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Maximum causal entropy inverse constrained reinforcement learning

Mattijs Baert (UGent) , Pietro Mazzaglia (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) MACHINE LEARNING. 114(4).
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GenRL : multimodal-foundation world models for generalization in embodied agents

Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Bart Dhoedt (UGent) , A. Courville and S. Rajeswar

(2024) Advances in Neural Information Processing Systems 37 (NeurIPS 2024). In Advances in Neural Information Processing Systems 37.
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Representing positional information in generative world models for object manipulation

Stefano Ferraro (UGent) , Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Bart Dhoedt (UGent) and S. Rajeswar

(2024) CoRL 2024 Workshop on Learning Robot Fine and Dexterous Manipulation : Perception and Control, Proceedings.
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- PhD Thesis
Efficient learning strategies for embodied intelligence

Pietro Mazzaglia (UGent)

(2024)
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Redundancy-aware action spaces for robot learning

Pietro Mazzaglia (UGent) , Nicholas Backshall, Xiao Ma and Stephen James

(2024) IEEE ROBOTICS AND AUTOMATION LETTERS. 9(8). p.6912-6919
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Multimodal foundation world models for generalist embodied agents

Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Bart Dhoedt (UGent) , A. Courville and S. Rajeswar

(2024) ICML 2024 Workshop : Multi-modal Foundation Model meets Embodied AI, Proceedings.
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Information-driven affordance discovery for efficient robotic manipulation

Pietro Mazzaglia (UGent) , T. Cohen and D. Dijkman

(2024) 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024. In IEEE International Conference on Robotics and Automation ICRA p.7780-7787
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Object-centric scene representations using active inference

Toon Van de Maele, Tim Verbelen (UGent) , Pietro Mazzaglia (UGent) , Stefano Ferraro (UGent) and Bart Dhoedt (UGent)

(2024) NEURAL COMPUTATION. 36(4). p.677-704

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