Summary
Work History
Education
Skills
Websites
Projects
Communication
Languages
Timeline
Generic
Zehao Li

Zehao Li

Sydney,NSW

Summary

Dynamic Robotics Algorithm Intern at the Institute for AI Industry Research, Tsinghua University, with expertise in Python and ROS. Successfully developed simulation environments and integrated real-world deployment systems, enhancing SLAM and navigation capabilities. Proven ability to collaborate effectively in teams, driving innovation in robotics challenges.

Work History

Robotics Algorithm Intern

Institute for AI Industry Research (AIR), Tsinghua University
12.2021 - 06.2022
  • Key team member of the RoboMaster Sim2Real Challenge (2022, 2023).
  • Developed simulation environments using Habitat, and integrated task logic.
  • Created test cases for simulation-to-real consistency to ensure compatibility.
  • Assisted with code reviews for teams, focusing on SLAM, navigation, and perception.
  • Sim2Real 2022 | Sim2Real 2023
  • Designed simulation systems for AgileX Sim2Real Challenge (2024)
  • Built virtual challenge scenarios on Isaac Sim for wheeled robots
  • Integrated sensor input/output and control interfaces for real-world deployment
  • Project Link

Education

Master of Robotics -

University of Technology Sydney (UTS)
Sydney, NSW
06.2025

Bachelor of Computer Science - AI Stream

University of New South Wales (UNSW)
Sydney, NSW
05.2023

Skills

  • Languages: Python (advanced), C/C (proficient), Java, SQL
  • Robotics: ROS, SLAM, A
  • /RRT
  • Path planning, navigation, and manipulation
  • Simulation and deployment: Isaac Sim, Habitat Lab, Gazebo, TurtleBot, Fetch
  • AI and computer vision: OpenCV, PyTorch, YOLOv5, image recognition
  • Tools and platforms: Linux, Git, Docker, VSCode

Projects

Multi-Robot Cooperative Navigation System, TurtleBot3 + ROS + Gazebo, Developed distributed path planning using D Lite algorithm, Implemented behavior tree-based task manager for pick-and-place logistics, Integrated mapping, task assignment, and collision avoidance modules, Vision-Based Object Detection & Manipulation System, Fetch Robot + ROS MoveIt + YOLOv5 + OpenCV, Built a visual recognition system for object detection and pose estimation, Integrated MoveIt + IKFast for precise robotic arm motion planning, Enhanced grasping accuracy through YOLO-based perception pipeline, Ground-Based Streetlight Inspection Robot, 4WD Chassis + 6-DOF Arm + RGB-D & Force Sensors, Designed full-stack system for visual inspection and compliant manipulation, Fused depth and force data to improve inspection stability, Capstone project involving mechanical, control, and algorithmic design, Computer Vision AI Projects, Starfish Detection: Developed underwater image recognition model with segmentation and clustering, Handwritten Alphabet Recognition: Built CNN classifier achieving >92% accuracy

Communication

  • Phone: 13623466180
  • Email: 963417390@qq.com
  • Email 2: lzh963417390@gmail.com

Languages

Chinese (Mandarin)
Native/ Bilingual
English
Professional

Timeline

Robotics Algorithm Intern

Institute for AI Industry Research (AIR), Tsinghua University
12.2021 - 06.2022

Master of Robotics -

University of Technology Sydney (UTS)

Bachelor of Computer Science - AI Stream

University of New South Wales (UNSW)
Zehao Li