Junyeob Baek
Ph.D. Student at Korea Advanced Institute of Science and Technology
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJunyeob Baek is a Ph.D. student at KAIST with nine years of industry and research experience bridging robotics, reinforcement learning, and optimization. He has driven applied ML and robotics projects from AMR navigation and welding-task optimization in manufacturing to learning-based pose estimation and multi-robot planning systems. His background includes roles as an ML research engineer and robotics software lead, plus a visiting stint with Yoshua Bengio’s group at Mila, reflecting a mix of practical deployments and cutting-edge research. Interested in "lifelong developmental agents," Junyeob combines strong academic training (top grades in robotics and advanced AI studies at KAIST) with hands-on productization experience in smart factories. Notably, his work has spanned both algorithm development and production integration, including population-based multi-objective optimization and trajectory swept-volume scheduling for multi-robot systems. Based in Seoul, he focuses on building embodied agents that learn and adapt over long horizons.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Robotics, 4.29/4.5, Bachelor's degree, Robotics, 4.29/4.5 at Hanyang UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (70)
toolbox10
bounding10
stable-baselines10
robustness10
robotics10
deep-reinforcement-learning10
reinforcement-learning10
moveit10
robot10
planning10
motion-planning10
openai-gym9
python9
deterministic9
pytorch9
Programming languages (4)
Github contributions (5)
ropiens/universal-option-framwork-pytorch
Sep 2021 - Oct 2021
PyTorch implementation of Universal Option Framework (UOF) for OpenAI gym environments
Contributions:27 commits, 10 PRs, 32 pushes in 1 month
pytorchgym-environmentsoption-frameworkreinforcement-learningopenai
CUN-bjy/rl-paper-review
Jun 2020 - Feb 2021
road-map & paper review for Reinforcement Learning
Contributions:138 commits, 2 PRs, 144 pushes in 8 months
roadreinforcement-learningreviewroad-mapmap
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