Yuheng Qiu
Applied Scientist Intern, FAR (Frontier AI For Robotics) Team at PyPose
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolYuheng Qiu is an applied scientist focusing on Visual SLAM and machine learning, currently interning on Amazon’s Frontier AI for Robotics team and contributing to PyPose, an open-source differentiable robotics library. With eight years of experience spanning research roles at Carnegie Mellon and industry internships, he bridges rigorous academic training (PhD work in Mechanical Engineering at CMU) with hands-on robotics software development. His open-source work on PyPose — particularly LieTensor and IMU preintegration improvements and documentation — highlights a talent for making advanced Lie group/IMU methods practical and accessible. Based in Pittsburgh, he combines deep systems thinking with a knack for turning complex math into usable tooling for robotics developers.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Carnegie Mellon University
Github Skills (4)
robotics10
python10
pytorch10
documentation8
Programming languages (7)
Github contributions (5)
pypose/pypose
Mar 2022 - Jan 2023
A library for differentiable robotics.
Role in this project:
Backend Developer
Backend DeveloperContributions:18 reviews, 83 commits, 11 PRs in 9 months
Contributions summary:Yuheng focused on enhancing the functionality of the pypose library, specifically in the area of LieTensor and IMU preintegration. The user's commits reveal their involvement in adding documentation, including examples, for the new methods of lie algebra and Lie group operations. Furthermore, the user contributed to the development of the IMU preintegration module by updating the integration pipeline.
pytorchroboticspythongeometric-deep-learningcomputer-graphics
haleqiu/AirDOS
Sep 2021 - Aug 2022
This work is a dynamic object slam work
Contributions:2 reviews, 3 commits, 1 PR in 11 months
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