Exploiting Scene-Specific Features for Object Goal Navigation. - Tommaso Campari; Paolo Eccher; Luciano Serafini; Lamberto Ballan (ECCV Workshops (4), 2020)

Online Learning of Reusable Abstract Models for Object Goal Navigation. - Tommaso Campari; Leonardo Lamanna 001; Paolo Traverso; Luciano Serafini; Lamberto Ballan (CVPR, 2022)

Retrospectives on the Embodied AI Workshop. - Matt Deitke; Dhruv Batra; Yonatan Bisk; Tommaso Campari; Angel X. Chang; Devendra Singh Chaplot; Changan Chen; Claudia Pérez-D'Arpino; Kiana Ehsani; Ali Farhadi; Li Fei-Fei 001; Anthony G. Francis; et al. (CoRR, 2022)

Exploiting Socially-Aware Tasks for Embodied Social Navigation. - Enrico Cancelli; Tommaso Campari; Luciano Serafini; Angel X. Chang; Lamberto Ballan (CoRR, 2022)

Exploiting Proximity-Aware Tasks for Embodied Social Navigation. - Enrico Cancelli; Tommaso Campari; Luciano Serafini; Angel X. Chang; Lamberto Ballan (ICCV, 2023)

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. - Alessandro Daniele; Tommaso Campari; Sagar Malhotra; Luciano Serafini (IJCAI, 2023)

Reduce, Reuse, Recycle: Modular Multi-Object Navigation. - Sonia Raychaudhuri; Tommaso Campari; Unnat Jain; Manolis Savva; Angel X. Chang (CoRR, 2023)

Simple and Effective Transfer Learning for Neuro-Symbolic Integration. - Alessandro Daniele; Tommaso Campari; Sagar Malhotra; Luciano Serafini (NeSy (1), 2024)

MOPA: Modular Object Navigation with PointGoal Agents. - Sonia Raychaudhuri; Tommaso Campari; Unnat Jain; Manolis Savva; Angel X. Chang (WACV, 2024)

TANGO: Training-free Embodied AI Agents for Open-world Tasks. - Filippo Ziliotto; Tommaso Campari; Luciano Serafini; Lamberto Ballan (CVPR, 2025)

Following the Human Thread in Social Navigation. - Luca Scofano; Alessio Sampieri; Tommaso Campari; Valentino Sacco; Indro Spinelli; Lamberto Ballan; Fabio Galasso (ICLR, 2025)

LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation. - Sonia Raychaudhuri; Enrico Cancelli; Tommaso Campari; Lamberto Ballan; Manolis Savva; Angel X. Chang (CoRR, 2025)