Conference Paper
C15. Peng Gao, Yu Shen and Ming C. Lin， Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy， IEEE International Conference on Robotics and Automation (ICRA), 2024.
C14. Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming C. Lin and Dinesh Manocha, MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation, IEEE International Conference on Robotics and Automation (ICRA), 2024.
C13. Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, and Ming C. Lin, Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. Best Paper Award for Agri-Robot (<1%).
C12. Yu Shen, Xijun Wang, Peng Gao, and Ming C. Lin, Auxiliary Modality Learning with Generalized Curriculum Distillation, in International Conference on Machine Learning (ICML), 2023.
C11. Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, and Hao Zhang. “Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception.” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
C10. Peng Gao, Sriram Siva, Anthony Micciche, and Hao Zhang. “Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams.” in IEEE International Conference on Robotics and Automation (ICRA), 2023.
C9. Peng Gao, Brian Reily, Rui Guo, Hongsheng Lu, Qingzhao Zhu, and Hao Zhang. “Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation.” in IEEE International Conference on Robotics and Automation (ICRA), 2022.
C8. Peng Gao and Hao Zhang. “Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception.” in Robotics: Science and Systems (RSS), 2021.
C7. Peng Gao, Rui Guo, Hongsheng Lu, and Hao Zhang. “Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization.” in IEEE International Conference on Robotics and Automation (ICRA), 2021.
C6. Peng Gao, Rui Guo, Hongsheng Lu, and Hao Zhang. “Regularized Graph Matching for Correspondence Identification under Uncertainty in Collaborative Perception.” in Robotics: Science and Systems (RSS), 2020.
C5. Peng Gao, and Hao Zhang. “Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching.” in AAAI Conference on Artificial Intelligence (AAAI), 2020.
C4. Peng Gao, Ziling Zhang, Rui Guo, Hongsheng Lu, and Hao Zhang. “Correspondence identification in collaborative robot perception through maximin hypergraph matching.” in IEEE International Conference on Robotics and Automation (ICRA), 2020.
C3. Peng Gao, and Hao Zhang. “Long-term Place Recognition through Worst-case Graph Matching to Integrate Landmark Appearances and Spatial Relationships.” in IEEE International Conference on Robotics and Automation (ICRA), 2020.
C2. Peng Gao, Brian Reily, Savannah Paul, and Hao Zhang. “Visual reference of ambiguous objects for augmented reality-powered human-robot communication in a shared workspace.” in International Conference on Virtual, Augmented and Mixed Reality (VAMR), invited paper, 2020.
C1. Rui Guo, Hongsheng Lu, Peng Gao, Ziling Zhang, and Hao Zhang.“Collaborative localization for occluded objects in connected vehicular platform.” in IEEE Vehicular Technology Conference (VTC), 2019.
Journal Paper
J3. Peng Gao, and Hao Zhang. “Correspondence identification for Human-Robot Collaborative Assembly through Bayesian Deep Graph Matching.” in Autonomous Robots (AuRo), invited paper, accepted, 2023.
J2. Peng Gao, Rui Guo, Hongsheng Lu, and Hao Zhang. “Correspondence identification for collaborative multi-robot perception under uncertainty.” in Autonomous Robots (AuRo), invited paper, accepted, 2021.
J1. Brian, Reily, Peng Gao, Fei Han, Hua Wang, and Hao Zhang. “Real-Time Recognition of Team Behaviors by Multisensory Graph Embedded Robot Learning.” in International Journal of Robotics Research (IJRR), in press, 2021.
Workshop
W2. Peng Gao, Ahmed Jaafar, Brian Reily, Christopher Reardon, and Hao Zhang. Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction, Conference on Robot Learning (CoRL), workshop, 2024.
W1. Sriram Siva, Peng Gao, Yiming Deng, Hao Zhang, Multisensory Internal Pipe Threat Prediction Using In-line Inspection Robots, in IEEE International Conference on Robotics and Automation (ICRA), Abstract-Only Poster, 2018.