Yihan Li

+86 18615276438 | liyh627@mail2.sysu.edu.cn

Personal Website: liyihan.xyz

|| Education

English Major, School of Foreign Language

GPA 3.8/5.0

Computer Science and Technology Minor, School of Computer Science and Engineering

Minor GPA 3.8/5.0

|| Pubulication

RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence

Zhaoliang Wan, Zetong Bi, Zida Zhou, Hao Ren, Yiming Zeng, Yihan Li, Cao He, Lu Qi, Xu Yang, Ming-Hsuan Yang, Hui Cheng

NeurIPS 2025 Conference

Unordered Landmark Visual Navigation

Hao Ren, Junzhe Zhu, Yihan Li, Zetong Bi, Le Zheng, Zhi Li, Yiqing Yuan, Zhaoliang Wan, Lu Qi, Hui Cheng

CVPR 2026 Conference Submission

|| Work Experience

President, Competition Team Captain

• Fully responsible for the association’s organization management, member training, and technical guidance.  

• Organized the university-level large-scale competition “Smart Space” Unmanned Vehicle Technology Challenge.  

• Led the competition team to achieve outstanding results in the RoboMaster 2025 University Series, National Undergraduate Electronics Design Contest, China Robot and Artificial Intelligence Competition, and Intelligent Unmanned Systems Application Challenge.  

R&D Intern

• Participated in the R&D project for scientific research UAVs, focusing on electronic control systems.

• Led the research, technical selection, and integration planning for the full set of avionic equipment (including flight controllers, ESCs, motors, and sensors).

• Designed and executed UAV motion capability tests to evaluate flight stability, maneuverability, and payload capacity; analyzed test data and provided recommendations for performance optimization.

|| Honors and Awards

|| Research Experience

Research on Low-Cost, High-Robutsness Dexterous Hand Teleoperation Technology Based on Perceptual Fusion in Embodied Intelligence Scenarios

• Developed the underlying driver algorithms for the lab’s original RAPID Hand, achieving precise motion control for the 20-DoF mechanical hand.

• Designed an automatic calibration algorithm, optimizing the spatial alignment accuracy of multimodal sensory data and stabilizing perception latency within 7ms.

• Built a MuJoCo simulation environment for accurate physical parameter modeling and control strategy verification, providing data support for real-world deployment.

• Constructed a master-slave arm teleoperation platform to support high-quality data collection, aiding in training diffusion policies that outperform existing solutions.

A Study on Projection Relations in the Academic Discourse of Chinese EFL Learners (Guangdong Provincial Philosophy and Social Science Planning Project 2025)

• Led the development of an automated annotation system based on Large Language Models (LLMs), optimizing prompt engineering and fine-tuning strategies to achieve automatic identification and classification of projection relations in academic discourse.

• Improved the system’s accuracy in annotating projection relations in academic texts to 85% through iterative training.

• Converted unstructured text into hierarchical annotation results, significantly enhancing the efficiency and consistency of subsequent analysis.

|| Project Experience

GenreShift: An Intelligent Genre Conversion Expert System Based on Quantitative Linguistic and Large Language Models

• National Undergraduate “Challenge Cup” Innovation and Entrepreneurship Training Program (Excellent Project).  

• Responsible for quasi-parallel corpus construction, data crawling and cleaning, stylometric feature extraction, LLM LoRa fine-tuning, and Mixture of Experts (MoE) system construction.  

• Responsible for overall project planning; an invention patent has been applied for (Title: “一种基于计量语言学与 LLM 的智能体裁转换方法及系统,” Application No.: 2025105553019).

Autonomous Navigation and Precise Robotic Arm Pick-and-Place System for Off-Road Vehicles in Complex Scenarios

• Focused on 4WD differential and Ackermann steering chassis. Optimized FAST_LIO2 to solve mapping and loop closure issues in degenerate environments; used FAST_LIO2’s high-frequency odometry combined with ICP for efficient and accurate relocalization.  

• Optimized the local planner based on TEB to achieve high-speed, precise navigation. Equipped with a 6-DoF robotic arm, utilizing binocular vision point clouds, YOLOv11 algorithm, and PnP solving to achieve precise pick-and-place operations.  

UAV Swarm Flight Based on Mesh Networking Communication and GNSS RTK

• Debugged and deployed the Mesh self-organizing network communication module, establishing a real-time data transmission link between UAVs.  

• Responsible for collecting and verifying GNSS RTK positioning data, completing high-precision UAV position calibration, and analyzing positioning error sources by comparing static/dynamic flight RTK results with base station data.  

• Participated in designing the UAV swarm flight test plan, assisting in multi-UAV coordination tasks (e.g. swarm takeoff/landing, trajectory tracking, dynamic formation changes).  

|| Professional Skills 

• Programming: ROS1/2, Python, C/C++, STM32/Arduino Embedded Development  
• Skills: Fusion360/SolidWorks Modeling, EDA Design  
• Licenses: AOPA Multi-rotor VLOS Pilot, C1 Driver’s License  
• Languages: Mandarin (Native), English (TEM-4), French  
• Interests: Badminton, Soccer, Cycling, FPV Drone