About Me
Publications

Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Yuhang Zhong, Anke Zhao, Tianyue Wu, Tingrui Zhang, Fei Gao
Submitted to IROS 2025,
This paper introduces a diffusion-based method for generating long-horizon aerobatic drone trajectories by decomposing maneuvers into learnable primitives.

Any-shape Real-time Replanning via Swept Volume SDF
Yijin Wang*, Tingrui Zhang*, Mengke Zhang, Shuhang Ji, Xiaoying Li, Zhen Li, Fei Gao
Submitted to IROS 2025,
This paper introduces a novel approach for continuous collision-free trajectory generation using implicit Swept Volume SDF for arbitrary shapes.

Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes
Jingping Wang*, Tingrui Zhang*, Qixuan Zhang, Chuxiao Zeng, Jingyi Yu, Chao Xu, Lan Xu, Fei Gao
SIGGRAPH 2024, ACM Transactions on Graphics (TOG 2024),
This paper presents a hierarchical trajectory planner using Swept Volume SDF (SVSDF) to enable continuous collision avoidance for Arbitrary Shapes.

Continuous Implicit SDF Based Any-Shape Robot Trajectory Optimization
Tingrui Zhang*, Jingping Wang*, Chao Xu, Alan Gao, Fei Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023),
This paper presents a continuous implicit SDF based approach for optimizing trajectories of robots with arbitrary shapes.

Robust and Efficient Trajectory Planning for Formation Flight in Dense Environments
Lun Quan*, Longji Yin*, Tingrui Zhang, Mingyang Wang, Ruilin Wang, Sheng Zhong, Yanjun Cao, Chao Xu, Fei Gao
IEEE Transactions on Robotics (TRO 2023),
This paper presents a robust and efficient trajectory planning approach for formation flight of uav swarms in dense environments.

Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments
Changjia Ma, Zhichao Han, Tingrui Zhang, Jingping Wang, Long Xu, Chengyang Li, Chao Xu, Fei Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023),
This paper proposes a decentralized planning approach for car-like robotic swarms in cluttered environments.
Project&Experience

RMUA 2022 - SWIFT
2022RoboMaster University AI ChallengeTeam National Runner-up
RoboMaster University AI Challenge, a robotics competition where teams use autonomous robots to engage in a 2v2 shooting match on a rune-filled battlefield, requiring motion planning, control, and autonomous decision-making.

Internship at Meituan
2023MeituanIntern
Local Path Planning Developer
Worked on localized route planning development in Meituan's UAV algorithms department between Jun. 2023 – Dec. 2024
Selected Honors&Awards
Honors
- Outstanding Graduates, Beijing, 2022
- National Scholarship, Beijing, 2020
- National Scholarship, Beijing, 2019
Competition
- National Runner-up in RMUA2022, Shenzhen, 2022
- National 1st Prize in College Mathematics Competition, Beijing, 2019