Peng Gao

Orcid: 0000-0002-2110-7427

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-Robot Collaborative Navigation with Formation Adaptation.
CoRR, 2024

2023
Uncertainty-aware correspondence identification for collaborative perception.
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

Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams.
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
Collaborative Localization for Occluded Objects in Connected Vehicular Platform.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019


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