Ryohei Ueda
VP Of Software at GITAI
Torrance, California, United States
Summary
👤
Senior🎓
Top SchoolRyohei Ueda is a VP of Software with 16 years of experience blending deep robotics research and hands-on systems engineering, currently leading software at GITAI from Torrance, CA. He holds a Ph.D. from the University of Tokyo and has built production-grade perception and motion-planning stacks in C++ and ROS, with notable contributions to widely used open-source projects like the Point Cloud Library and ROS image pipelines. Equally fluent across C/C++, Python, Common Lisp, and JavaScript, he pairs embedded/Linux expertise with iOS and web skills, making him effective across edge devices to cloud services. His background in particle-filter-based 3D tracking and stereo/point-cloud integration reflects a rare mix of algorithmic rigor and pragmatic engineering. Colleagues describe him as a coder-leader who moves between research prototypes and scalable product code with ease.
16 years of coding experience
8 years of employment as a software developer
University of Tokyo
Japanese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
pcl10
opencv10
javascript10
robotics10
c-language10
image-processing10
moveit10
eigen10
computer-engineering10
cplus10
computer-vision10
cpp10
cprogramming-language10
point-cloud10
ros10
Programming languages (20)
Github contributions (5)
jsk-ros-pkg/jsk_visualization
Dec 2013 - Dec 2021
jsk visualization ros packages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1108 commits, 485 PRs, 255 pushes in 8 years 1 month
Contributions summary:Ryohei implemented a function to read geometry messages, specifically geometry_msgs/Pose, from rosparameters. They also refactored and improved the footstep marker to utilize tf::Transform and Eigen library for representing offset information, thus optimizing data storage. Furthermore, the user refactored the code to ensure that the pose of the marker is transformed with respect to a given frame id.
rosvisualization
ros-perception/image_pipeline
Apr 2014 - Feb 2019
An image processing pipeline for ROS.
Role in this project:Back-end Developer
Back-end DeveloperContributions:26 commits, 2 PRs, 2 comments in 4 years 10 months
Contributions summary:Ryohei primarily contributed to the image processing pipeline by implementing and modifying nodelet classes within the ROS framework. They added a nodelet class for image rotation, including necessary dependencies and configuration options. Furthermore, they integrated the StereoSGBM algorithm, allowing users to select between StereoBM and StereoSGBM methods through dynamic reconfigure. These changes involved modifying existing code, adding new files, and updating the build system.
image-processingrosc-plus-pluspython
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