About Me

I am a master student in Robotics at Zhejiang University, Hangzhou, with a research focus on trajectory optimization, collision-free motion planning, swarm intelligence, and diffusion models for robotic systems. Under the guidance of Prof. Fei Gao (高飞) and Prof. Chao Xu (许超), I have been exploring advanced algorithms to enhance the autonomy and efficiency of robotic agents in complex environments. In 2025, I will join the College of AI at Tsinghua University as a Ph.D. student, working with Prof. Hang Zhao (赵行) to further my research in embodied AI and scalable robotic learning. My long-term goal is to bridge theoretical advancements in optimization and generative models with real-world applications, contributing to the next generation of intelligent robotic systems.

Publications

Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models

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

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

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

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

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

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

RMUA 2022 - SWIFT

2022

RoboMaster 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

Internship at Meituan

2023

MeituanIntern

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