Shuo Yang is a robotics-focused engineer and entrepreneur with 14 years of experience building perception, state estimation, and control systems for drones and humanoid robots. A PhD candidate from Carnegie Mellon and former technical lead at DJI, he moved from industry R&D into high-impact roles at Tesla working on Optimus before co-founding Mondo Robotics as CTO. His work blends rigorous academic training with hands-on product delivery—evidenced by test automation contributions to the ModernRobotics C++ library and simulation work with NVIDIA Isaac Sim. Shuo is comfortable shipping across the stack, from low-level control and sensing to learning-based algorithms, and he has a track record of improving reliability through disciplined testing. Based in Palo Alto, he pairs a protector’s mindset with curiosity, often bridging academic ideas into robust commercial systems.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)
Modern Robotics: Mechanics, Planning, and Control C++ Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness. http://modernrobotics.org/
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:12 commits, 5 PRs, 12 comments in 22 days
Contributions summary:Shuo's primary contribution focused on adding and expanding the testing framework for the Modern Robotics C++ library. They integrated the Google Test framework, implemented multiple test cases, and added tests for functions such as JacobianSpace, JacobianBody, FKinBody, and FKinSpace. The user's work significantly increased the test coverage of the library, verifying core functions.
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