SegMatch: Segment based loop-closure for 3D point clouds. - Renaud Dubé; Daniel Dugas; Elena Stumm; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (CoRR, 2016)

SegMatch: Segment based place recognition in 3D point clouds. - Renaud Dubé; Daniel Dugas; Elena Stumm; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (ICRA, 2017)

SegMap: 3D Segment Mapping using Data-Driven Descriptors. - Renaud Dubé; Andrei Cramariuc; Daniel Dugas; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (Robotics: Science and Systems, 2018)

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. - Leo Stanislas; Julian Nubert; Daniel Dugas; Julia Nitsch; Niko Sünderhauf; Roland Siegwart; César Cadena 001; Thierry Peynot (FSR, 2019)

IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments. - Daniel Dugas; Juan I. Nieto 001; Roland Siegwart; Jen Jen Chung (IROS, 2020)

Robot Navigation in Crowded Environments Using Deep Reinforcement Learning. - Lucia Liu; Daniel Dugas; Gianluca Cesari; Roland Siegwart; Renaud Dubé (IROS, 2020)

Mixed and Augmented Reality Tools in the Medical Anatomy Curriculum. - Melanie Romand; Daniel Dugas; Christophe Gaudet-Blavignac; Jessica Rochat; Christian Lovis (MIE, 2020)

SegMap: Segment-based mapping and localization using data-driven descriptors. - Renaud Dubé; Andrei Cramariuc; Daniel Dugas; Hannes Sommer; Marcin Dymczyk; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (Int. J. Robotics Res., 2020)

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. - Daniel Dugas; Juan I. Nieto 001; Roland Siegwart; Jen Jen Chung (ICRA, 2021)

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. - Fabien Grzeskowiak; David J. Gonon; Daniel Dugas; Diego Paez-Granados; Jen Jen Chung; Juan I. Nieto 001; Roland Siegwart; Aude Billard; Marie Babel; Julien Pettré (ICRA, 2021)

NavDreams: Towards Camera-Only RL Navigation Among Humans. - Daniel Dugas; Olov Andersson; Roland Siegwart; Jen Jen Chung (IROS, 2022)

FlowBot: Flow-based Modeling for Robot Navigation. - Daniel Dugas; Kuanqi Cai; Olov Andersson; Nicholas R. J. Lawrance; Roland Siegwart; Jen Jen Chung (IROS, 2022)

Do Androids Dream of Interactive Navigation?: Towards World-models for Interactive, Crowd-navigating Robots. - Daniel Dugas (2022)

Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow. - Kuanqi Cai; Weinan Chen; Daniel Dugas; Roland Siegwart; Jen Jen Chung (IEEE Trans. Intell. Transp. Syst., 2023)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)