[ wangzhepei@live.com | github ]
Hey, my name is Zhepei. I'm passionate about autonomous vehicles, mathematical programming, and computational geometry. I received my Ph.D. degree in Control Science and Engineering from the Zhejiang University in 2022, for my work on motion planning for flying robots under the supervision of Fei Gao and Chao Xu at the ZJU-FAST-Lab. I received my B.Eng. degree in Automation from the College of Control Science and Engineering, Zhejiang University, in 2017.
Selected: A General-Purpose Trajectory Optimizer for Multicopters
Zhepei Wang, Xin Zhou, Chao Xu, and Fei Gao, “Geometrically Constrained Trajectory Optimization for
Multicopters”. IEEE Transactions on Robotics (T-RO), Regular Paper, 2022.
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(Reported by IEEE Spectrum Website)
Xin Zhou, Xiangyong Wen, Zhepei Wang, Yuman Gao, Haojia Li, Qianhao Wang, Tiankai Yang,
Haojian Lu, Yanjun Cao, Chao Xu, and Fei Gao, “Swarm of Micro Flying Robots in the Wild”.
Science Robotics (SciRob), 2022.
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Zhepei Wang, Hongkai Ye, Chao Xu, and Fei Gao, “Generating Large-Scale Trajectories Efficiently using
Double Descriptions of Polynomials”. IEEE International Conference on Robotics and Automation
(ICRA),
2021.
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Qianhao Wang*, Zhepei Wang*, and Fei Gao, “A Linear and Exact Algorithm for Whole-Body Collision
Evaluation via Scale Optimization”. Technical Report, 2022.
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Xin Zhou, Zhepei Wang, Hongkai Ye, Chao Xu, and Fei Gao, “EGO-Planner: An ESDF-free Gradient-based Local
Planner for Quadrotors”. IEEE Robotics and Automation Letters (RA-L), 2021.
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(Reported by IEEE Spectrum Website)
Jialin Ji*, Zhepei Wang*, Yingjian Wang, Chao Xu, and Fei Gao, “Mapless-Planner: A Robust and Fast Planning
Framework for Aggressive Autonomous Flight without Map Fusion”. IEEE International Conference on
Robotics and Automation (ICRA), 2021.
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Zhepei Wang, Xin Zhou, Chao Xu, Jian Chu, and Fei Gao, “Alternating Minimization Based Trajectory Generation
for Quadrotor Aggressive Flight”. IEEE Robotics and Automation Letters (RA-L), 2020,
and also in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
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Zhepei Wang, Chao Xu, and Fei Gao, “Robust Trajectory Planning for Spatial-Temporal Multi-Drone Coordination
in Large Scenes”. IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS), 2022.
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Zhichao Han, Zhepei Wang, Neng Pan, Yi Lin, Chao Xu, and Fei Gao, “Fast-Racing: An Open-source Strong
Baseline for SE(3) Planning in Autonomous Drone Racing”. IEEE Robotics and Automation Letters
(RA-L), 2021.
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Xin Zhou, Zhepei Wang, Xiangyong Wen, Jiangchao Zhu, Chao Xu, and Fei Gao, “Decentralized Spatial-Temporal
Trajectory Planning for Multicopter Swarms”. Technical Report, 2021.
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(Reported by IEEE Spectrum Website)
Hongkai Ye, Xin Zhou, Zhepei Wang, Chao Xu, Jian Chu, and Fei Gao, “TGK-Planner: An Efficient Topology
Guided Kinodynamic Planner for Autonomous Quadrotors”. IEEE Robotics and Automation Letters
(RA-L),
2021.
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Shaohui Yang, Botao He, Zhepei Wang, Chao Xu, and Fei Gao, “Whole-Body Real-Time Motion Planning for
Multicopters”. IEEE International Conference on Robotics and Automation (ICRA), 2021.
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Yunfan Ren, Fangcheng Zhu, Wenyi Liu, Zhepei Wang, Yi Lin, Fei Gao, and Fu Zhang,
“Bubble Planner: Planning High-speed Smooth Quadrotor Trajectories using Receding Corridors”.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
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Tianyu Liu, Qianhao Wang, Xingguang Zhong, Zhepei Wang, Chao Xu, and Fei Gao, “Star-Convex Constrained
Optimization for Visibility Planning with Application to Aerial Inspection”. IEEE
International Conference on Robotics and Automation (ICRA), 2022.
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Jiangcheng Zhu, Jun Zhu, Zhepei Wang, Shan Guo, and Chao Xu, “Hierarchical Decision and Control for
Continuous Multitarget Problem: Policy Evaluation With Action Delay”. IEEE Transactions on Neural
Networks and Learning Systems (T-NNLS), 2018.
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