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Daniel Dugas
Daniel Dugas
PhD, Autonomous Systems Lab, ETH Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Segmatch: Segment based place recognition in 3d point clouds
R Dubé, D Dugas, E Stumm, J Nieto, R Siegwart, C Cadena
2017 IEEE International Conference on Robotics and Automation (ICRA), 5266-5272, 2017
3722017
SegMap: Segment-based mapping and localization using data-driven descriptors
R Dube, A Cramariuc, D Dugas, H Sommer, M Dymczyk, J Nieto, ...
The International Journal of Robotics Research 39 (2-3), 339-355, 2020
351*2020
Robot navigation in crowded environments using deep reinforcement learning
L Liu, D Dugas, G Cesari, R Siegwart, R Dubé
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
1012020
Navrep: Unsupervised representations for reinforcement learning of robot navigation in dynamic human environments
D Dugas, J Nieto, R Siegwart, JJ Chung
2021 IEEE international conference on robotics and automation (ICRA), 7829-7835, 2021
562021
Segmatch: Segment based loop-closure for 3d point clouds
R Dubé, D Dugas, E Stumm, J Nieto, R Siegwart, C Cadena
arXiv preprint arXiv:1609.07720, 2016
502016
Airborne particle classification in lidar point clouds using deep learning
L Stanislas, J Nubert, D Dugas, J Nitsch, N Sünderhauf, R Siegwart, ...
Field and Service Robotics: Results of the 12th International Conference …, 2021
232021
Mixed and augmented reality tools in the medical anatomy curriculum
M Romand, D Dugas, C Gaudet-Blavignac, J Rochat, C Lovis
Digital Personalized Health and Medicine, 322-326, 2020
212020
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd
F Grzeskowiak, D Gonon, D Dugas, D Paez-Granados, JJ Chung, J Nieto, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 3879-3885, 2021
192021
Ian: Multi-behavior navigation planning for robots in real, crowded environments
D Dugas, J Nieto, R Siegwart, JJ Chung
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
172020
Navdreams: Towards camera-only rl navigation among humans
D Dugas, O Andersson, R Siegwart, JJ Chung
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
122022
SegMap: 3d segment mapping using data-driven descriptors. arXiv 2018
R Dubé, A Cramariuc, D Dugas, J Nieto, R Siegwart, C Cadena
arXiv preprint arXiv:1804.09557, 0
8
SegMap: 3D segment mapping using data-driven descriptors
D Renaud, C Andrei, D Daniel, N Juan, C Cesar
International Journal of Robotics Research 39 (2-3), 339-355, 2020
62020
Segmatch: Segment based loop-closure for 3d point clouds. arXiv 2016
R Dubé, D Dugas, E Stumm, J Nieto, R Siegwart, C Cadena
arXiv preprint arXiv:1609.07720, 0
6
Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow
K Cai, W Chen, D Dugas, R Siegwart, JJ Chung
IEEE Transactions on Intelligent Transportation Systems, 2023
12023
FlowBot: Flow-based modeling for robot navigation
D Dugas, K Cai, O Andersson, N Lawrance, R Siegwart, JJ Chung
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
12022
Do Androids Dream of Interactive Navigation?: Towards World-models for Interactive, Crowd-navigating Robots
D Dugas
ETH Zurich, 2022
2022
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