School: Carnegie Mellon University
Lab: MetaMobility Lab
PI: Inseung Kang
Supervisors: Yi-Hung Chiu, Nate Shoemaker-Trejo
Duration: Jan 2024 – Dec 2024
Funding: CMU SURF & SURG Scholarships
Publication: IEEE ICORR 2025
Overview
For one year, I worked in the MetaMobility Lab on simulation methods for personalized robotic hip exoskeletons. The long-term goal is to reduce the costly and uncomfortable process of physically tuning exoskeletons on patients by developing a simulation pipeline that can imitate individual gait patterns and test exoskeleton assistance before human trials. My SURF project was featured in a 2025 CMU News article highlighting undergraduate researchers contributing to accessibility-focused technologies.
Research Focus
How can human gait data and physics-informed simulation be used to build a personalized exoskeleton–human model for training adaptive walking assistance?
My Role
I contributed primarily to the data, simulation, and tooling aspects of the project. My work included:
Data & Simulation
Attempted direct import of gait trajectories into Locomujoco (MuJoCo skeletal agent)
Adjusted skeletal body parameters and improved model stability and usability
Modeled early versions of the lab’s hip exoskeleton in MuJoCo
Pipeline & Tools
Helped organize and clean the IL/RL training pipeline
Generated plots, diagrams, and visualizations for internal use and for publication
Assisted with figure preparation and supplementary materials for the ICORR paper
Lab Contributions
Designed and built the first lab website
Worked on an early MIT-collaborative project involving a destabilizing backpack
Supported graduate student workflows with debugging, simulation checks, and analysis tasks
Contributed to writing sections and organizational work for the final paper
Skills
Python
MuJoCo / Locomujoco
Motion Data Processing
Simulation Modeling
Plotting & Visualization
Technical Writing
Research Collaboration
Publication
Presentation
3MT SURF Talk (2024): 3-minute presentation of my research.