Yorai Shaoul
Graduate Researcher And Teaching Assistant
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolYorai Shaoul is a robotics PhD student and graduate researcher at Carnegie Mellon with eight years of hands-on experience building perception, planning, and multi-robot systems for real-world autonomy. He combines rigorous algorithm design with practical C++ implementations, blending data-driven learning with classical task-and-motion planning to enable multi-arm manipulation and multi-robot coordination. His background spans aerial and ground platforms, from developing range-visual-inertial localization and trajectory optimization to generative models for multi-robot collaboration at Amazon. Comfortable in embedded hardware, ROS, and deep learning stacks, he has a track record of moving research into deployed systems and informing product decisions with data-driven analyses. Influenced by MIT training and a taste for literary wit, he brings an experimental mindset that seeks both theoretical guarantees and pragmatic robustness in human environments.
8 years of coding experience
6 years of employment as a software developer
Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Robotics, School of Computer Science, Doctor of Philosophy - PhD, Robotics, School of Computer Science at Carnegie Mellon University
English, Hebrew, Spanish
Github Skills (14)
motion-planning7
python7
diffusion-models7
algorithms6
pytorch5
ros-driver4
robotics4
tellodrone4
ros4
stereo3
fisheye3
aruco1
synthetic-data1
dataloader1
Programming languages (4)
Github contributions (5)
yoraish/lidar_bot
Jan 2020 - Mar 2022
Contributions:19 commits, 2 PRs, 11 pushes in 2 years 3 months
yoraish/yoraish.github.io
May 2023 - Jan 2026
Contributions:53 pushes, 1 branch in 2 years 8 months
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