Yuquan Wang
专家研究员 at 腾讯
China
Summary
👤
Senior🎓
Top SchoolYuquan Wang is an expert researcher and roboticist with 10 years of experience specializing in optimization-based control, currently working at Tencent after academic appointments across Europe. He holds a PhD in Control and Robotics from KTH and has progressed from PhD student to postdoc and assistant professor roles, bringing strong theoretical foundations to practical robotic systems. His work spans state estimation, control for connected vehicles, and advanced optimization methods developed during projects at Eindhoven, KTH, CNRS, and Universiteit Maastricht. Known for bridging rigorous research with industry-scale problems, he often applies multi-rate sensing and estimator design techniques that are not obvious from his title alone. Based in China, he combines deep academic insight with applied R&D leadership in commercial and collaborative research settings.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Control and Robotics, Doctor of Philosophy (PhD), Control and Robotics at KTH Royal Institute of TechnologyBachelor of Engineering (BE), Mechanical Engineering and Automation, Bachelor of Engineering (BE), Mechanical Engineering and Automation at Beijing Jiaotong University
Github Skills (34)
dynamics9
mechanics9
simulation8
kinematics8
mujoco7
robotics7
inverse-kinematics7
pendulum7
rtc7
python-bindings7
sdf5
urdf5
boost-python5
eigen5
model-predictive-control5
Programming languages (3)
Github contributions (5)
wyqsnddd/RBDyn
Aug 2020 - Jun 2024
RBDyn provides a set of classes and functions to model the dynamics of rigid body systems.
Contributions:10 pushes, 1 branch in 3 years 10 months
bodydynamicsrigid
wyqsnddd/CMakeModules
Aug 2020 - Jun 2025
Contributions:7 pushes, 1 branch in 4 years 10 months
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