Peng Gao
Orcid: 0000-0002-2110-7427Affiliations:
- North Carolina State University, Raleigh, NC, USA
- University of Maryland, Department of Computer Science, Maryland Robotics Center, College Park, MD, USA
- Colorado School of Mines, Golden, CO, USA (PhD 2022)
According to our database1,
Peng Gao
authored at least 16 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
Auton. Robots, June, 2023
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction.
CoRR, 2023
Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Real-time recognition of team behaviors by multisensory graph-embedded robot learning.
Int. J. Robotics Res., 2022
Correspondence identification for collaborative multi-robot perception under uncertainty.
Auton. Robots, 2022
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Regularized Graph Matching for Correspondence Identification under Uncertainty in Collaborative Perception.
Proceedings of the Robotics: Science and Systems XVI, 2020
Correspondence Identification in Collaborative Robot Perception through Maximin Hypergraph Matching.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Long-term Place Recognition through Worst-case Graph Matching to Integrate Landmark Appearances and Spatial Relationships.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Visual Reference of Ambiguous Objects for Augmented Reality-Powered Human-Robot Communication in a Shared Workspace.
Proceedings of the Virtual, Augmented and Mixed Reality. Design and Interaction, 2020
Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019