Daniel Dugas

Orcid: 0009-0000-6086-4730

According to our database1, Daniel Dugas authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow.
IEEE Trans. Intell. Transp. Syst., December, 2023

2022
Do Androids Dream of Interactive Navigation?: Towards World-models for Interactive, Crowd-navigating Robots.
PhD thesis, 2022

FlowBot: Flow-based Modeling for Robot Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

NavDreams: Towards Camera-Only RL Navigation Among Humans.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
SegMap: Segment-based mapping and localization using data-driven descriptors.
Int. J. Robotics Res., 2020

Mixed and Augmented Reality Tools in the Medical Anatomy Curriculum.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Robot Navigation in Crowded Environments Using Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning.
Proceedings of the Field and Service Robotics, 2019

2018
SegMap: 3D Segment Mapping using Data-Driven Descriptors.
Proceedings of the Robotics: Science and Systems XIV, 2018

2017
SegMatch: Segment based place recognition in 3D point clouds.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
SegMatch: Segment based loop-closure for 3D point clouds.
CoRR, 2016


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