Long Xu | 徐隆

Wir müssen wissen, wir werden wissen

About Me

I am now a Ph.D. student in Robotics, Zhejiang University, working with Prof. Fei Gao. I obtained my B.Eng. of Automation at Zhejiang University in 2022.

My research interests include motion planning, robot learning and mobile manipulator.

I am always happy to chat or collaborate with people with different backgrounds. If you are interested in my work, please feel free to reach out!

My work mainly focuses on motion planning for multi-articulated robots and on uneven terrain, towards more efficient, intelligent, and robust.

In future, my research will focus on whole body manipulation and interactive navigation.

  • Email: xulon666@gmail.com

Honors and Awards

  • 1st prize at RoboMaster 2022 University AI Challenge, 2022
  • Zhejiang Government Scholarship (top 3%), 2020
  • First Academic Scholarship (top 3%), 2019

Talks & Presentations

SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement

International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, Oct. 2025

An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain

International Conference on Intelligent Robots and Systems (IROS), Detroit, USA, Oct. 2023

Researches

Equal Contribution, *Project Leader

Learning Trajectory Generation on Uneven Terrain with Differentiable Trajectory Optimization and Manifold
L. Xu, Z. Hou, F. Gao
On-going project.

Optimal and efficient trajecotory generation on uneven terrain with differentiable trajectory optimization and manifold.

Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Mobile Manipulators
L. Xu, C. Wong, F. Gao
On-going project.

Diverse and efficient trajectory generation for mobile manipulator with primitive-based truncated diffusion.

TopAY: Efficient Trajectory Planning for Differential Drive Mobile Manipulators via Topological Paths Search and Arc Length-Yaw Parameterization
L. Xu, C. Wong, M. Zhang, J. Lin, F. Gao
arXiv:2507.02761
Paper / Code GitHub stars

A classical trajectory planner for differential drive mobile manipulator.

Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments
L. Xu, K. Chai, B. An, J. Gan, Q. Wang, Y. Zhou, X. Li, J. Lin, Z. Han, C. Xu, Y. Cao, F. Gao
IEEE Transactions on Automation Science and Engineering (T-ASE), 2025
Paper / Video / Code GitHub stars

A real-time trajectory planner for tractor-trailer robots in unstructured environments.

Dynamically Feasible Trajectory Generation with Optimization-Embedded Networks for Autonomous Flight
Z. Han, L. Xu, L. Pei, F. Gao
IEEE Robotics and Automation Letters, 2025.
Paper / Video / Web

Differentiable optimization layer can contribute to end-to-end UAV trajectory generation.

SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement
Z. Wang, Y. Li, L. Xu*, H. Shi, Z. Ma, Z. Chu, C. Li, F. Gao, K. Yang, K. Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Paper / Web

A simple framework for enhancing quadrupedal robot jumping agility.

Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process
S. Tan, Z. Hou, Z. Zhang, L. Xu*, M. Zhang, Z. He, C. Xu, F. Gao, Y. Cao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Paper / Code GitHub stars

A real-time traversability assessment via feature-based sparse Gaussian process.

SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain
X. Li, L. Xu, X. Huang, D. Xue, Z. Zhang, Z. Han, C. Xu, Y. Cao, F. Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Paper / Video / Code GitHub stars

Real-time SE(2)-based local navigation framework for car-like robots on uneven terrain.

LF-3PM: a LiDAR-based Framework for Perception-aware Planning with Perturbation-induced Metric
K. Chai, L. Xu, Q. Wang, C. Xu, P. Yin, F. Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Paper / Video / Code GitHub stars

Robots with limited FOV can avoid some localization-unfriendly space when navigation.

An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments
Z. Han, Y. Wu, T. Li, L. Zhang, L. Pei, L. Xu, C. Li, C. Ma, C. Xu, S. Shen, F. Gao
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023
Paper / Video / Code GitHub stars

A trajectory planner based on differential flatness for car-like robot.

Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments
C. Ma, Z. Han, T. Zhang, J. Wang, L. Xu, C. Li, C. Xu, F. Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Paper / Video / Code GitHub stars

A trajectory planner for car-like robots swarm.

An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain
L. Xu, K. Chai, Z. Han, H. Liu, C. Xu, Y. Cao, F. Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Paper / Video / Code GitHub stars

A trajectory planner for car-like robots on uneven terrain.

Towards Efficient Trajectory Generation for Ground Robots beyond 2D Environment
J. Wang, L. Xu, H. Fu, Z. Meng, C. Xu, Y. Cao, X. Lyu, F. Gao
IEEE International Conference on Robotics and Automation (ICRA), 2023
Paper / Video / Code GitHub stars

A trajectory planner for ground robots beyond 2D environment.