CV

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Carnegie Mellon University, Pittsburgh, USA
- M.S. in Mechanical Engineering - Research (Robotics Track), Aug. 2024 – May. 2026
- GPA: 4.0/4.0
Dalian University of Technology, Dalian, China
- B.E. in Mechanical Design & Manufacturing and Their Automation (Japanese Intensive), Sept. 2019 – Jul. 2024
- GPA: 3.7/4.0
Tohoku University, Sendai, Japan
- Exchange Student in Mechanical and Aerospace Engineering Department, Oct. 2022 – Aug. 2023

C=Conference, J=Journal, W=Workshop, A=arXiv

[A.1] LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation.
Zhefan Xu, Haoyu Shen, Xinming Han, Hanyu Jin, Kanlong Ye, Kenji Shimada
arXiv:2502.20607
[W.1] Adaptive Planning Framework for UAV-Based Surface Inspection in Partially Unknown Indoor Environments.
Hanyu Jin, Zhefan Xu, Haoyu Shen, Xinming Han, Kanlong Ye, Kenji Shimada
ICRA 2025 Construction Robotics Workshop

Research Assistant - CERLAB, Carnegie Mellon University
Aug. 2024 – Present, Pittsburgh, USA
Supervisor: Kenji Shimada

Implemented LSTM-PPO architecture for wind-resilient UAV RL-control, modeling various wind fields in Gazebo/Isaac Sim and training distributed wind-aware policies that improved UAV navigation robustness.
Contributed to the development of the popular open project CERLAB UAV Autonomy stack in ROS, Gazebo, and Isaac Sim. Integrated point cloud reconstruction after dynamic obstacle removal.
Built a custom LiDAR-based UAV platform and conducted real tunnel inspection tests for Toprise Inc Japan., achieving high-resolution 3D reconstruction (accuracy < 5cm).

Software Engineer Intern - Perflection AI
May. 2025 – Aug. 2025, Pittsburgh, USA

Benchmarked state-of-the-art vision-language models (Qwen2.5-VL, Tarsier, GPT-4o, Gemini 2.5 Pro) for golf advice accuracy and curated domain-specific datasets for fine-tuning.
Designed and iteratively refined prompt engineering strategies, transforming generic outputs into personalized and actionable coaching feedback.
Incorporated key frame analysis and biomechanical metrics into the feedback pipeline, improving swing issue detection and user trust in model-generated advice.

For detailed project descriptions, please visit the Projects page.

Pittsburgh-RAG: Retrieval-Augmented Generation for QA on Pittsburgh (Sep. 2025 - Oct. 2025)
Build-LLAMA2: Mini Llama2 Transformer Implementation (Aug. 2025 - Sep. 2025)
DDPM-AFHQ: Denoising Diffusion Probabilistic Model on AFHQ Dataset (Jun. 2025 - Aug. 2025)
Windy-NavRL: Wind-resilient RL Framework for UAV Navigation (Feb. 2025 - Present)
ORB-SLAM3 on Various Physical Robots using ROS2 (Sep. 2024 - Dec. 2024)
Optimal Control and A* Path Planning for Autonomous Vehicles (Aug. 2024 - Dec. 2024)

Languages: Chinese (Native), English (Fluent), Japanese (Fluent)
Programming: C/C++, Python, MATLAB, Git, JavaScript
Frameworks & Libraries: PyTorch, NumPy, OpenCV, ROS
Robotics & AI: Path Planning, SLAM, Object Detection, RL, LLM, VLM
Software & Tools: Isaac-sim, Gazebo, MuJuCo, AutoCAD, SolidWorks, Ansys, Wandb