Zhenyuan Yuan

Orcid: 0000-0001-6195-1481

According to our database1, Zhenyuan Yuan authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multirobot-Guided Crowd Evacuation: Two-Scale Modeling and Control.
IEEE Trans. Control. Syst. Technol., November, 2024

Lightweight Distributed Gaussian Process Regression for Online Machine Learning.
IEEE Trans. Autom. Control., June, 2024

Secure Perception-Driven Control of Mobile Robots Using Chaotic Encryption.
IEEE Trans. Autom. Control., April, 2024

Bayesian meta learning for trustworthy uncertainty quantification.
CoRR, 2024

Federated reinforcement learning for robot motion planning with zero-shot generalization.
Autom., 2024

2023
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments.
CoRR, 2023

Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models.
CoRR, 2023

Characterizing Evacuee Behavior During a Robot-Guided Evacuation.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2023

Multi-robot-assisted human crowd control for emergency evacuation: A stabilization approach.
Proceedings of the American Control Conference, 2023

Federated reinforcement learning for generalizable motion planning.
Proceedings of the American Control Conference, 2023

2022
Distributed Safe Learning and Planning for Multi-robot Systems.
CoRR, 2022

Byzantine-tolerant federated Gaussian process regression for streaming data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

dSLAP: Distributed Safe Learning and Planning for Multi-robot Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning.
CoRR, 2021

2020
Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Communication-aware Distributed Gaussian Process Regression Algorithms for Real-time Machine Learning.
Proceedings of the 2020 American Control Conference, 2020


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