Boxi Xia is a postdoctoral researcher in robotics with nine years of experience bridging academic innovation and industry deployment, currently at Duke University's General Robotics Lab after a PhD from Columbia's Creative Machines Lab. He specializes in soft and legged robotics, having built CUDA-accelerated real-time soft-body simulators, motor-driven untethered soft quadrupeds and humanoids, and training reactive SAC controllers for locomotion. His work spans hardware (3D-printed soft actuators, origami heaters, a custom multi-extruder printer) to software (real-time simulation, gait optimization via cross-entropy, LSTM dynamics models), and includes translating research into applied robotics at XPENG. Based in New York, he combines deep systems expertise with hands-on fabrication and control, notable for speeding soft actuation through conductive-infused designs and optimized tool-path planning.
9 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Huazhong University of Science and Technology
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Columbia University
Python Packages needed for Printing Soft Artificial Muscle using Soft Muscle Printer
Contributions:26 commits, 22 pushes in 1 year 10 months
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Boxi Xia - Postdoctoral Researcher at Duke University