Tae Hoon Yang

MSCS @ Stanford University

Hi! I’m Tae, a Master’s student in Computer Science (AI specialization) at Stanford University, advised by Professor Shuran Song and Professor C. Karen Liu. I earned my B.S. in Computer Engineering with a minor in Robotics from Northeastern University, where I was advised by Professor Michael Everett. I’m passionate about developing and researching embodied AI, with a focus on robot learning.

Publications

Locomotion Beyond Feet
Locomotion Beyond Feet
Tae Hoon Yang*, Haochen Shi*, Jiacheng Hu*, Zhicong Zhang, Daniel Jiang, Weizhuo Wang, Yao He, Zhen Wu, Yuming Chen, Yifan Hou, Monroe Kennedy III, Shuran Song†, C. Karen Liu†
*Equal contribution, †Equal advising
In submission
Project Page Paper Code 𝕏 Tweet
MEMS Acoustic Wave Resonators
Toward Intelligent Design and Measurement of MEMS Acoustic Wave Resonators
Xingyu Liu, Tianxi Meng, Shuhan Chen, Tae Hoon Yang, Jun Zhang, Songbin Gong, Yansong Yang
IEEE Transactions on Microwave Theory and Techniques (TMTT), 2026
Paper

Selected Projects

ToddlerBot 2.0
ToddlerBot 2.0: Open-Source ML-Compatible Humanoid Platform
Dec 2024 - Aug 2025
Robotics and Embodied Artificial Intelligence (REAL) Lab and The Movement Lab, Stanford University
  • Contributed to the 2.0 release by improving the custom keyframe animation app and adding non-physics motion generating and RL training tools.
  • Built an RL training pipeline with custom terrain generation, integrated stereo depth perception using the deep learning model FoundationStereo, and added RGB-D rendering and elevation mapping features in simulation.
Project Page Code Stars Forks
Go1 Navigation
Go1 DLIOM-Based Autonomous Navigation
Jan 2024 - Aug 2024
Autonomy & Intelligence Lab, Northeastern University
  • Configured Unitree Go1 robot dog with 3D LiDAR sensor fixture and ROS2 environment on robot's Jetson board.
  • Integrated state estimation from DLIOM (Direct LiDAR Inertial Odometry and Mapping) with ROS2 Nav2.
  • Achieved robot navigation with custom nodes that convert velocities from Nav2 to robot's high-level SDK commands.
Video

Teaching Assistant

Stanford University

CS229 – Machine Learning
Winter 2026
CS229 – Machine Learning
Autumn 2025

Northeastern University

EECE 2160 – Embedded Design: Enabling Robotics
Spring 2024
EECE 2140 – Computing Fundamentals for Engineers
Spring 2023
EECE 2160 – Embedded Design: Enabling Robotics
Fall 2022