Tung Dang
Orcid: 0000-0002-4974-9632
According to our database1,
Tung Dang
authored at least 21 papers
between 2017 and 2024.
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Bibliography
2024
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
Field Robotics, 2024
2023
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data.
Frontiers Neuroinformatics, March, 2023
Decoding time-course of saliency network of fMRI signals by EEG signals using optimized forward variable selection: a concurrent EEG-fMRI study.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge.
Field Robotics, March, 2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
2021
Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
J. Field Robotics, 2020
Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method.
CoRR, 2020
Autonomous Aerial Robotic Surveying and Mapping with Application to Construction Operations.
CoRR, 2020
Collision-tolerant Autonomous Navigation through Manhole-sized Confined Environments.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020
Learning-based Path Planning for Autonomous Exploration of Subterranean Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Motion Primitives-based Path Planning for Fast and Agile Exploration using Aerial Robots.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Localization uncertainty-aware autonomous exploration and mapping with aerial robots using receding horizon path-planning.
Auton. Robots, 2019
Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Explore Locally, Plan Globally: A Path Planning Framework for Autonomous Robotic Exploration in Subterranean Environments.
Proceedings of the 19th International Conference on Advanced Robotics, 2019
2018
Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots.
Found. Trends Robotics, 2018
Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots.
CoRR, 2018
Visual Saliency-Aware Receding Horizon Autonomous Exploration with Application to Aerial Robotics.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017