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2020 – today
- 2024
[j4]Zelin Zhang, Hua Li, Yongming Du, Yao Chen, Guoxiang Zhao, Zunjian Bian, Biao Cao, Qing Xiao, Qinhuo Liu:
Stripe Noise Elimination with a Novel Trend Repair Method for Push-Broom Thermal Images. Remote. Sens. 16(17): 3299 (2024)- [i2]Guoxiang Zhao, Devesh K. Jha, Yebin Wang, Minghui Zhu:
iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. CoRR abs/2401.02883 (2024) - 2022
- [j3]Guoxiang Zhao
, Minghui Zhu:
Scalable distributed algorithms for multi-robot near-optimal motion planning. Autom. 140: 110241 (2022) - [j2]Yunyun Wang, Guwei Sun, Guoxiang Zhao, Hui Xue:
Unsupervised New-set Domain Adaptation with Self-supervised Knowledge. Int. J. Softw. Informatics 12(2): 195-211 (2022) - 2021
- [j1]Guoxiang Zhao, Minghui Zhu:
Pareto Optimal Multirobot Motion Planning. IEEE Trans. Autom. Control. 66(9): 3984-3999 (2021) - [c3]Yang Lu, Yaohua Guo, Guoxiang Zhao, Minghui Zhu:
Distributed safe reinforcement learning for multi-robot motion planning. MED 2021: 1209-1214
2010 – 2019
- 2019
- [c2]Guoxiang Zhao, Minghui Zhu:
Scalable distributed algorithms for multi-robot near-optimal motion planning. CDC 2019: 226-231 - 2018
- [c1]Guoxiang Zhao, Minghui Zhu:
Pareto optimal multi-robot motion planning. ACC 2018: 4020-4025 - [i1]Guoxiang Zhao, Minghui Zhu:
Pareto optimal multi-robot motion planning. CoRR abs/1802.09099 (2018)
Coauthor Index
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