cv

Basics

Name Mengying Lin
Label MS Robotics @ Georgia Institute of Technology | Research Intern @ AIR, THU | Research Intern @ Institute of Automation, CAS
Email mlin365@gatech.edu
Url https://Cassie-Lim.github.io/

Work

  • 2024.03 - Present
    Research Intern
    Institute for AI Industry Research, Tsinghua University
    Guided by Zike Yan, I am developing a multi-modal lifelong navigation system using neural fields, integrating continual learning with experience replay for semantic grounding, and designing a graph-based navigation strategy that ensures semantic guidance, safety, and uncertainty awareness.
  • 2023.08 - 2024.10
    Student Researcher
    Institute of Automation, Chinese Academy of Sciences
    Guided by Professor Dongbin Zhao in the National Key Laboratory of Multimodal AI Systems, the work focuses on efficient navigation planning by integrating object affinity insights from large language models with learned environment-specific affinities, enhancing generalization in AI-2THOR and Habitat, and transitioning the system to real-world robotics.
  • 2023.03 - 2023.08
    Student Researcher
    Berkeley Artificial Intelligence Research
    Under the guidance of Yu Sun, the research focuses on adapting model-based policies to environments with diverse physical attributes by integrating MuJoCo's derivative API for gradient backpropagation through observation-conditioned reward functions, and by training an observation-affine model to calibrate the transition model and refine policies using MPC with recent data.
  • 2022.01 - 2022.07
    Undergraduate Student Researcher
    Institute of Computing Technology, Chinese Academy of Sciences
    Advised by Professor Shiguan Shan, the work focuses on eye tracking by analyzing atomic eye movements and their emotion patterns, while optimizing an eye blink detection system for multi-user tracking in both recorded videos and real-time applications.

Education

Skills

Robotic Navigation
Visual Perception
Robot Operating System (ROS)
Simulation
Git
C++
Python

Languages

Chinese
Native speaker
English
Fluent