Yao He

Robotics Institute, CMU.

yaohe.png

Robotics Institute, SQH, CMU

1723 Murey Ave

Pittsburgh, PA 15213

Hi, I am Yao He, a new incoming Master’s student in EE at Stanford! I am actively thinking about the next generation of robotics. My goal is to harness cutting-edge technologies to advance the capabilities of robotic systems, thereby driving innovations that can have transformative impacts across various sectors.

Previously, I serves as a research associate and one of the main engineers at AirLab, CMU Robotics Institute, advised by Prof. Sebastian Scherer. During my time at CMU, I was focusing on building effecient and versatile mobile robot systems that can robustly perceive and safely navigate in unstructured environments.

I received my Bachelor degree in Electronic Information Engineering from The Chinese University of Hong Kong, Shenzhen. During my undergradute, I work on unmanned surface vehicles (USVs) in Prof. Alex Qian’s Lab. I was also a 2021 CMU Robotics Institute Summer Scholar.

news

May 2, 2024 Our research project Wildfire is on the front and center on the CMU Piper today!
Apr 23, 2024 Reviewing for IROS24 and RAL24.
Apr 18, 2024 Proud to share the current research and engineering success from wildfire MRSD team’s spring validation demo. Proud to be a mentor of such an excellent team!
Mar 15, 2024 I decided to go to Stanford for an MS in EE.
Feb 15, 2024 Received CMU ECE & ME PhD for Fall 2024!
Dec 6, 2023 Reviewing for IJRR.
Nov 1, 2023 FoundLoc is live!
Aug 1, 2023 AnyLoc is live! Congrat to this awesome work!
Jun 11, 2023 Reviewing for RAL.
Mar 15, 2023 Reviewing for IROS23.
Mar 9, 2023 I am orgainzing Tartan Planning Series Spring 2023!
Jun 30, 2022 My work on multicamera VIO is accepted by IROS22!

selected publications

2023

  1. FoundLoc.gif
    FoundLoc: Vision-based Onboard Aerial Localization in the Wild
    In arXiv preprint arXiv:2310.16299 , 2023

2022

  1. mulcam-1.png
    Towards Robust Visual-Inertial Odometry with Multiple Non-Overlapping Monocular Cameras
    Yao He, Huai Yu, Wen Yang, and Sebastian Scherer
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022