Yixi Cai

Postdoctoral Fellow at KTH Royal Institute of Technology

Stockholm, Sweden
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Yixi Cai is a robotics postdoctoral fellow at KTH’s Digital Futures with eight years of experience bridging academic research and efficient, production-minded code. Holding a PhD in Mechatronics, Robotics, and Automation from The University of Hong Kong and a BE from Beihang, she focuses on how robots perceive and model the world, especially through spatial data structures. Her open-source work includes refactoring and optimizing an incremental k-d tree implementation to remove PCL dependencies, tighten performance, and simplify builds—demonstrating a knack for both core algorithm design and pragmatic engineering. Based in Stockholm, she combines rigorous research with hands-on systems development, favoring lightweight, custom data types for real-time robotic applications.
code8 years of coding experience
bookBachelor of Engineering - BE, Automation, 3.84/4.0, Bachelor of Engineering - BE, Automation, 3.84/4.0 at Beihang University
bookThe University of Hong Kong (HKU)
github-logo-circle

Github Skills (7)

algorithm10
data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
multithreading9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

github-logo-circle
hku-mars/ikd-Tree

Dec 2020 - Mar 2022

This repository provides implementation of an incremental k-d tree for robotic applications.
Role in this project:
userBack-end Developer
Contributions:96 commits, 6 PRs, 32 pushes in 1 year 3 months
Contributions summary:Yixi's primary contribution focused on refactoring and optimizing the incremental k-d tree implementation. They deleted the dependency on the PCL library and implemented a custom point type and vector for improved efficiency. Further commits involved removing debugging statements and comments to clean up the code. Finally, they integrated a makefile to manage the build process and updated the demo file, showcasing their efforts in core algorithm implementation and project setup.
roboticsincrementalkd-treelidar-point-cloudrobotic-applications
Contributions:41 pushes in 1 year 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Yixi Cai - Postdoctoral Fellow at KTH Royal Institute of Technology