Xiangyu Chen (陈翔宇)

I am currently spending my gap year as a research intern at Wuxi AIR Innovation Center, where I have the privilege of collaborating closely with Prof. Yilun Chen, PhD student Pengfei Li and Dr. Xiaoxiao Long from HKU. Before that, I worked as an algorithm intern at EncoSmart, focusing on visual representation learning for robot manipulation. Previously, I served as a research assistant in Imitation Learning under the supervision of Prof. Peng Yin at GAIRLAB, City University of Hong Kong (CityU). Before that, I gained research experience as intern at ARX, DISCOVER Lab, Institute for AI Industry Research (AIR), Tsinghua University. where I was fortunate to work closely with Dr. Yongliang Shi and Prof. Guyue Zhou on SLAM and Navigation. Earlier in my academic journey, I obtained First Class Honour Bachelor degree in Electrical and Electronic Engineering from Liverpool John Moores University in UK.

I am actively applying for master degree and looking for the PhD opportunity in Fall 2025.

Email  /  CV  /  Google Scholar  /  GitHub  /  Video Channel

We introduced GaussianGrasper, a robot grasping system implemented by a 3D Gaussian field endowed with open-vocabulary semantics and accurate geometry that is capable of rapid updates to support open-world robotic grasping guided by language.

we propose a localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps.

GAIRLAB, City University of Hong Kong (CityU)

Imitation Learning(ACT)

Data Collection by Teleoperation System

Whole-Body Control

Lidar-based SLAM (Cartographer)

Navigation (A* and TEB)

Lidar-based SLAM (Cartographer)

Navigation (A* and TEB)

DISCOVER Lab, AIR, Tsinghua University

Lidar-based SLAM (LIO-SAM)

Navigation (A* and TEB)

Lidar-based SLAM (Cartographer)

Pure Pursuit algorithm

High stability and obstacle avoidance ability

DISCOVER Lab, AIR, Tsinghua University

Lidar-based SLAM (Cartographer), Vision-based SLAM (ORB_SLAM, RTAB_MAP)

Extended Kalman Filter (EKF)

Navigation (A* and TEB)

DISCOVER Lab, AIR, Tsinghua University

Lidar-based SLAM (Cartographer)

Extended Kalman Filter (EKF)

Navigation (A* and TEB)

DISCOVER Lab, AIR, Tsinghua University

Lidar-based SLAM (Cartographer)

DISCOVER Lab, AIR, Tsinghua University

Reinforcement Learning

Sim2Real

The industrial compound mobile robot, enhanced by the capabilities of the Antelope Industrial Large Model in understanding computations, generating industrial code, and processing industrial text, can perform task comprehension, decomposition, instruction generation, and other operations through applications such as industrial task splitting, path code planning, and industrial object detection and image segmentation within a natural language interaction model. This further enhances the efficiency and effectiveness of industrial robots.

Contribution & Results: we developed a safety model based on two scenarios: ring road conflicts and unprotected left turns, and evaluated the safety performances in both individual vehicle intelligence and V2X scenarios. The results indicate that V2X improved safety metrics by 30% to 90%.

Result: In collaboration with Baidu, contributed to the release of the first Chinese white paper on vehicle-road cooperative technology: Key technologies and prospects of vehicle-road collaboration for autonomous driving.

Outside of research, I enjoy playing basketball.