Scholar

Long Xu (徐隆)

Google Scholar ID: xQujI5AAAAAJ

浙江大学

Motion PlanningTrajectory OptimizationRobot LearningReinforcement Learning

Citations & Impact

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Citations

172

H-index

i10-index

Publications

Co-authors

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Publications

11 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

1. 1st prize at RoboMaster 2022 University AI Challenge, 2022
2. Zhejiang Government Scholarship (top 3%), 2020
3. First Academic Scholarship (top 3%), 2019
4. Published SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement at IROS
5. Published Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments in IEEE Transactions on Automation Science and Engineering (T-ASE)

Research Experience

Involved in several projects related to trajectory generation on uneven terrain, such as Learning Trajectory Generation with Differentiable Trajectory Optimization and Manifold, Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Mobile Manipulators, etc.

Education

Obtained B.Eng. in Automation from Zhejiang University in 2022; currently a Ph.D. student in Robotics at Zhejiang University, working with Prof. Fei Gao.

Background

Research interests include motion planning, robot learning, and mobile manipulators. Main work focuses on motion planning for multi-articulated robots on uneven terrain, aiming for more efficient, intelligent, and robust systems. Future research will focus on whole body manipulation and interactive navigation.

Miscellany