Shengwen Xie
Robotics Engineer at Elite robot
Daxing District, Beijing, China
Summary
👤
Senior🎓
Top SchoolShengwen Xie is a robotics engineer with nine years of experience blending academic rigor and hands-on system development, currently designing controllers for robotic arms at Elite Robot in Beijing. A Ph.D. candidate in Mechanical Engineering from Iowa State, he specializes in system identification, optimization, and optimal control, with proven expertise in hybrid motion/force controllers and stability proofs. His research delivered vision-free manipulation strategies—using only force/torque sensing—for tasks like peg‑in‑hole and screw tightening, and extended to contour tracking and dual-arm coordination. He also brought machine learning into control by modeling piezo actuator dynamics with RNNs, applying Koopman operator techniques and unscented Kalman filtering to enable tractable predictive control. Comfortable with MATLAB, Python, MuJoCo/Bullet and real-robot validation, he pairs theoretical guarantees with practical, robust implementations.
8 years of coding experience
4 years of employment as a software developer
Ph.D., Mechanical Engineering, Ph.D., Mechanical Engineering at Iowa State UniversityMaster of Engineering (M.Eng.), Master of Engineering (M.Eng.) at Tianjin UniversityBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at Huazhong University of Science and Technology
Github Skills (43)
deterministic10
robotics10
dynamics10
physics10
robot-simulator10
robotics-simulation10
mujoco10
bullet-physics9
simulator9
simulation9
physics-engine9
mechanics9
urdf8
webots8
motion-planning8
Programming languages (3)
Github contributions (5)
nopaddleboat/Koopman_operator_predictive_control
Oct 2019 - Aug 2020
Contributions:29 commits, 28 pushes, 1 branch in 9 months
nopaddleboat/bullet_UR5_TorqueControl
Jul 2020 - Jul 2020
Contributions:19 pushes, 1 branch in 13 days
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