Daniel Dugas

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 18

Top Topics

Robot Navigation

Top Venues

Publications

Kuanqi Cai, Weinan Chen, Daniel Dugas, Roland Siegwart, Jen Jen Chung
Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
FlowBot: Flow-based Modeling for Robot Navigation. IROS (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. IROS (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. CoRR (2022)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. ICRA (2021)
Fabien Grzeskowiak, David J. Gonon, Daniel Dugas, Diego Paez-Granados, Jen Chung, Juan I. Nieto, Roland Siegwart, Aude Billard, Marie Babel, Julien Pettré
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. CoRR (2021)
Fabien Grzeskowiak, David J. Gonon, Daniel Dugas, Diego Paez-Granados, Jen Jen Chung, Juan I. Nieto, Roland Siegwart, Aude Billard, Marie Babel, Julien Pettré
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. ICRA (2021)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments. IROS (2020)
Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMap: Segment-based mapping and localization using data-driven descriptors. Int. J. Robotics Res. 39 (2-3) (2020)
Lucia Liu, Daniel Dugas, Gianluca Cesari, Roland Siegwart, Renaud Dubé
Robot Navigation in Crowded Environments Using Deep Reinforcement Learning. IROS (2020)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. CoRR (2020)
Melanie Romand, Daniel Dugas, Christophe Gaudet-Blavignac, Jessica Rochat, Christian Lovis
Mixed and Augmented Reality Tools in the Medical Anatomy Curriculum. MIE (2020)
Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot
Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. FSR (2019)
Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMap: Segment-based mapping and localization using data-driven descriptors. CoRR (2019)
Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMap: 3D Segment Mapping using Data-Driven Descriptors. Robotics: Science and Systems (2018)
Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMap: 3D Segment Mapping using Data-Driven Descriptors. CoRR (2018)
Renaud Dubé, Daniel Dugas, Elena Stumm, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMatch: Segment based place recognition in 3D point clouds. ICRA (2017)
Renaud Dubé, Daniel Dugas, Elena Stumm, Juan I. Nieto, Roland Siegwart, Cesar Cadena
SegMatch: Segment based loop-closure for 3D point clouds. CoRR (2016)