Shixin Li is a skilled software engineer and researcher with extensive experience in robotics and artificial intelligence. Shixin Li began as a research intern at Sichuan University, focusing on Spiking Neural Networks algorithms, and published an IEEE journal paper. Subsequently, Shixin Li gained practical experience at Carnegie Mellon University, where improvements were made to vision and planning algorithms, culminating in a successful human-robot interaction demo. Shixin Li's career includes notable roles at innovative companies such as Google, with significant contributions to ARCore visual inertial tracking algorithms and user interface enhancements for the open-source Robot perception system RoboSherlock. Additional experiences include internships at TuSimple, Horizon Robotics, and a research assistantship at the University of California San Diego, where advanced robotics research was conducted. Shixin Li holds a Master's degree in Computer Science (Robotics) from the University of California San Diego and a Bachelor's degree in Electrical Engineering from Sichuan University.
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