Rui Cao
Research Assistant at The Chinese University of Hong Kong
Hong Kong Island, Hong Kong
Summary
👤
Senior🎓
Top SchoolRui Cao is a robotics-focused research engineer with nine years of experience applying AI and control to real-world manipulation problems, currently a Research Assistant at The Chinese University of Hong Kong. His work centers on object pose estimation and deep-learning-based grasp synthesis for bin-picking and household manipulation, bridging perception and practical robotic grasping. Rui has industrial experience developing robotics solutions at the Hong Kong Centre for Logistics Robotics and hands-on electromechanical design from a stint at the Chinese Academy of Sciences building motor drivers. Trained across electrical engineering and AI at Beijing Jiaotong, Sungkyunkwan, and CUHK, he combines systems-level hardware insight with modern learning-based methods—an advantage when moving algorithms from lab prototypes toward deployable automation.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE), Electrical Engineering and Automation, GPA:85/100, Bachelor of Engineering (BE), Electrical Engineering and Automation, GPA:85/100 at Beijing Jiaotong UniversityArtificial Intelligence, 4.2/4.5, Artificial Intelligence, 4.2/4.5 at Sungkyunkwan UniversityThe Chinese University of Hong Kong (CUHK)
Chinese, English
Github Skills (61)
data-generation9
sum9
speech9
latex8
image-editing8
robotics8
overleaf7
point-cloud7
xelatex6
deep-learning6
3d6
iterative6
ignition6
gazebosim6
cv-template6
Programming languages (5)
Github contributions (5)
rcao-hk/graspnet-baseline
Oct 2022 - Mar 2025
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
Contributions:105 pushes in 2 years 4 months
pytorchobject-graspingcvpr-2020scalebenchmark
63445538/63445538.github.io
Oct 2017 - Apr 2021
Contributions:32 pushes, 1 branch in 3 years 5 months
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