Boxi Xia
Postdoctoral Researcher at Duke University
New York, New York, United States
Summary
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Senior🎓
Top SchoolBoxi 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.
10 years of coding experience
5 years of employment as a software developer
University of California, San DiegoBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Huazhong University of Science and TechnologyDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Columbia University
Stackoverflow
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0reached
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Github Skills (20)
simulation9
eye-tracking8
reinforcement-learning-environments7
gpu7
robotics6
open-access5
hardware5
reinforcement-learning5
pytorch5
mujoco4
gymnasium4
deep-learning4
python4
cuda4
deep-reinforcement-learning3
Programming languages (6)
Github contributions (5)
boxiXia/Soft-Muscle-Printing
Dec 2017 - Nov 2019
Python Packages needed for Printing Soft Artificial Muscle using Soft Muscle Printer
Contributions:26 commits, 22 pushes in 1 year 10 months
python
boxiXia/FlexipodFast
Mar 2020 - May 2022
soft robot GPU simulation
Contributions:348 commits, 309 pushes, 4 branches in 2 years 2 months
gpusimulation
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