David D. Fan
Orcid: 0000-0002-8261-1045
According to our database1,
David D. Fan
authored at least 33 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering.
CoRR, July, 2025
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments.
CoRR, April, 2025
2024
IEEE Robotics Autom. Lett., May, 2024
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge.
Field Robotics, 2024
Proceedings of the Robotics: Science and Systems XX, 2024
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024
2023
A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics, March, 2022
IEEE Robotics Autom. Lett., 2022
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
PhD thesis, 2021
IEEE Trans. Autom. Control., 2021
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.
CoRR, 2021
STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation.
CoRR, 2021
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Autonomous Off-Road Navigation over Extreme Terrains with Perceptually-Challenging Conditions.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020
Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Proceedings of the Robotics Research, 2019
Proceedings of the Robotics Research, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
2017
Evolving cost functions for model predictive control of multi-agent UAV combat swarms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Stochastic control of systems with control multiplicative noise using second order FBSDEs.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016