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

Publications

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

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

Manuscript in revision for IEEE Transactions on Microwave Theory and Techniques (TMTT)

PDF

Selected Projects

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

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

Stanford University

Northeastern University