About Cherry

I'm a robotics engineer and machine learning researcher currently pursuing my Master's in Robotics at Georgia Institute of Technology, where I focus on Human-Robot Interaction, Perception, and AI. My work spans from developing SLAM-based navigation systems for autonomous mobile robots to creating interactive learning frameworks that enhance robot-human collaboration.

With experience at Huawei Canada developing ML models for network optimization and current research at Georgia Tech on semantic visual-inertial SLAM systems, I'm passionate about bridging the gap between theoretical research and practical robotic applications.

Academic & Professional Journey

💼

Robotics Engineer

Advanced Mechatronics Solutions
May 2025 - Present
  • •Designed and implemented autonomous mobile robot (AMR) and automated guided vehicle (AGV) solutions to improve warehouse automation, material handling, and operational efficiency
  • •Built and deployed SLAM-based navigation and perception systems for AMRs, leveraging industry-standard tools to enable robust, real-time autonomous operation in dynamic warehouse environments
💼

SLAM and Navigation Researcher

Georgia Institute of Technology
Aug 2024 - Present
  • •Implemented a real-time semantic visual-inertial SLAM system for quadruped and mobile robots by developing a computer vision pipeline for ORB feature extraction and integrating high-frequency IMU and camera data with deep learning-based semantic segmentation
  • •Developed a semantic navigation framework incorporating a vision-language model (VLM) to generate language-guided actions, enabling intuitive and socially-aware human-robot interaction in dynamic environments
  • •Led hardware troubleshooting and sensor calibration on TurtleBot4 platform, streamlining data pipelines and connectivity to ensure reliable real-time performance and system robustness
  • •Publication: Yi Lian, J. Taery Kim, Sehoon Ha, “Implicit Behavioral Cues for Enhancing Trust and Comfort in Robot Social Navigation,” ICRA 2025 PTAS Workshop (Best Presentation Award)
🎓

Master of Science in Robotics: Human-Robot Interaction, Perception, AI

Georgia Institute of Technology
Aug 2024 - Apr 2026
GPA: 4.00/4.00
Atlanta, GA
💼

Machine Learning Engineer

Huawei Canada
May 2022 - Aug 2023
  • •Designed and deployed LSTM-based deep learning models for bandwidth prediction in large-scale computer networks, achieving a prediction error below 5%
  • •Streamlined data acquisition pipelines with socket programming and network emulators (Mahimahi, NS2), improving real-time ingestion across 60% of team projects
  • •Resolved synchronization issues and enhanced data integrity in Django-based clustered databases, enabling reliable deployment of ML-based congestion control systems
  • •Publications: • Ahmed Elbery, Yi Lian, and Geng Li, “Toward Fair and Efficient Congestion Control: Machine Learning Aided Congestion Control (MLACC),” APNET ’23, 2023, doi:10.1145/3600061.3603275 • Sina Keshvadi, Shuihai Hu, Yi Lian, Geng Li, “OpenData: A Framework to Train and Deploy ML Solutions in Wide-Area Networks,” IEEE Network, 2023, doi:10.1109/MNET.2023.3320929
🎓

B.A.Sc. in Mechanical Engineering: AI, Robotics, Mechatronics, Manufacturing

University of Toronto
Sep 2019 - Apr 2024
Toronto, ON

Technical Skills

PythonCC++BashMATLABAssemblyPyTorchNumPyPandasTensorFlowLinuxROSROS2Git/GitHubDockerJupyterVSCodeArduinotmuxscikit-learnOpenCVNLTKPySerialsocketDjangoAWSUnity