Xingyao Han

Orcid: 0009-0003-6539-5576

According to our database1, Xingyao Han authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Delving into Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time Series.
CoRR, May, 2026

Effective and Scalable Path Planning and Motion Coordination for Four-Way Shuttle Vehicles in Storage/Retrieval Systems.
IEEE Trans Autom. Sci. Eng., 2026

2025
A Spatiotemporal Framework for Cooperative Path Planning of Multi-UGV-UAV Delivery Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

Foresee and Act Ahead: Task Prediction and Pre-Scheduling Enabled Efficient Robotic Warehousing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Foresee and Act Ahead: Task Prediction and Pre-Scheduling Enabled Efficient Robotic Warehousing.
CoRR, 2024

Cooperative Path Planning for Four-Way Shuttle Vehicles in Storage and Retrieval Systems: A Hierarchically Dynamic Graph-Based Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Toward Universal and Scalable Road Graph Partitioning for Efficient Multi-Robot Path Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Exhaustiveness Does Not Necessarily Mean Better: Selective Task Planning for Multi-robot Systems.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Anomaly Detection For Robust Autonomous Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation.
CoRR, 2022


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