EDUCATION & SKILLS


Xi’an Jiaotong University | Undergraduate Student | Intelligent Manufacturing Engineering | Jul.2023-Present

  • Technical Skills: Pytorch, OpenCV, Isaac Sim, YOLO, SolidWorks, ROS 2
  • Programming Language: C++, Python, Matlab
  • Relevant Coursework: Data Structures and Algorithms(A), Innovative Robotics Technologies(A), Fundamentals of Big Data(A), Python Programming Language(A-), Internet and Cloud Computing(A-)

RESEARCH INTEREST


Embodied AI Systems | Vision-Language-Action Models (VLA) | Multimodal Robot Learning

  • Embodied Cognitive Architecture: Joint optimization of multimodal perception (vision/haptics/speech)
    and action generation in physical environments
  • VLA Decision Making: Enhancing generalization of VLMs in robotic task planning
  • Cross-modal Sim-to-Real Transfer: Solving long-tail challenges in dynamic object manipulation

PROJECT EXPERIENCE


Multi-Agent Path Planning via Enhanced GNN ( by Prof Pietro Liò in Cambridge) | Lead Programmer & Founder | Apr.-Oct.2024

  • Implemented Message-Aware Gragh Attention Network solving 100+ agent pathfinding
  • Processed real-world map data with OpenCV
  • Achieved 70% success rate & 20%shorter paths vs. A* baseline in simulation

A Multi-Modal AI Approach for Dual-Arm Quadruped Service Robot(R&D Phase) | Lead Programmer | Jun.2025

  • Designing a ROS 2-based multi-modal perception framework integrating ViT
  • Implementing adaptive grasp planning for 20+ household items in simulation

Fault Diagnosis of Robotic Arms via Artificial Intelligence Algorithms | Assistant Engineer | Nov. 2024

  • Collected real-time robotic arms bearing data based on the MQTT protocol within the IoT framework.
  • Utilized deep learning to analyze bearing noise for robotic arm fault diagnosis and data classification.
  • Compared algorithm accuracies to enhance model generalization.

COMPETITION EXPERIENCE


VEX U Robotics Competition | Lead Programmer & Designer | Oct.2024- May.2025

  • Developed the motion code framework for the robot’s Mecanum wheel drive system.
  • Designed and planned an unprecedented automatic route for autonomous target detection.
  • Won the Excellence Award (top 1/39 teams) and secured a direct qualification for the World Championship in Dallas.

Robocup Underwater AUV Robotics Competitiion | Lead Programmer | May.2025 - Present

  • Developed CV algorithms and implemented motion control code for an AUV
  • Enhanced automomy and navigation accuracy for competition tasks

The Mathematical Contest in Modeling | Leader & Programmer | Dec.- Feb. 2024

  • Developed models to quantitatively analyze momentum shifts in tennis matches, identify key
    influencing factors, and achieve efficient prediction and data-driven decision-making.
  • Learned how to use LaTeX for academic writing.

The National 3D Digital Innovation Design Competition | Lead Designer | Sep - Nov. 2024

  • Designed an all-terrain adaptive intelligent sweeping robot.
  • Get the national second prize.

Student Engineering Practice and Innovation Ability Competition | Lead Programmer | 2024-present