Jack Xu
Robotics software engineer & co-founder at Proception (YC W25)
I work on the dexterity problem—teaching robots to manipulate objects with human-level precision. We're building the world's most dexterous humanoid hands, combining real-time control systems, sensor fusion, and AI to enable robots to thread needles, assemble electronics, and handle delicate tasks.
Previously at Tesla working on Optimus humanoid robot and Model S/3/X/Y vehicle systems. Earlier experience includes building medical exoskeletons at Trexo Robotics (YC '19) and leading autonomous racing robotics at UWaterloo.
Completed thesis-based MASc on tightly-coupled dual-VIO for mobile manipulation, published in IEEE Transactions on Mechatronics and presented at AIM 2024. Earned BASc in mechatronics from the University of Waterloo, specializing in embedded systems, robotics software, and autonomous systems.
Photography
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Blogs
more →Robotics - SLAM
MTE 544: Localization and Mapping - simultaneous localization and mapping techniques
Robotics - Estimation
MTE 544: Bayes and Kalman Filters - probabilistic estimation methods
Robotics - Mathematical Modelling
MTE 544: Introduction to robotics fundamentals, mathematical foundations, and system modeling
Let's connect
Interested in humanoid robotics, building hard things, or just want to chat? Reach out on any platform below.