← Search

Alessandro Daniele

2 accepted papers

2026

PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents

ICRA 2026poster

Recent advances in Embodied AI have enabled agents to perform increasingly complex tasks and adapt to diverse environments. However, deploying such agents in realistic human-centered scenarios, such as domestic households, remains challenging, particularly due to the difficulty of modeling individua…

2023

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions

IJCAI 2023poster

Neuro-Symbolic (NeSy) integration combines symbolic reasoning with Neural Networks (NNs) for tasks requiring perception and reasoning. Most NeSy systems rely on continuous relaxation of logical knowledge, and no discrete decisions are made within the model pipeline. Furthermore, these methods assume…

Cited by 24SourcePDFScholar