Kandai Watanabe
Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKandai Watanabe is a software engineer and Ph.D. researcher specializing in robotics, control, and reinforcement learning, with nine years of experience building scalable algorithms for real-world robotic systems. He spent over two years at Toyota Research Institute NA modeling manufacturing as Timed Partial Orders and scaling optimal planning to thousands of tasks and robots, and has applied ML at Amazon and Applied Intuition before joining Google. His work bridges classic model-based control and modern data-driven methods to enable safe, efficient human-robot interaction and task planning. Comfortable moving research into production, he has implemented end-to-end systems from drone controllers and sensor drivers to large-scale planning heuristics. Based in San Francisco, he combines academic rigor from a long-running Ph.D. at CU Boulder with hands-on industry impact across robotics and applied ML. An understated strength is his ability to reformulate domain problems (e.g., TPOs) into well-studied combinatorial frameworks to unlock scalable solutions.
9 years of coding experience
2 years of employment as a software developer
Master's degree Robotics, Master's degree Robotics at Keio UniversityBachelor of Engineering - BE Aerospace Engineering, Bachelor of Engineering - BE Aerospace Engineering at University of Illinois Urbana-Champaign慶應義塾高等学校International School of DüsseldorfDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado BoulderMiddle School, Middle School at 横浜市立あざみ野中学校
Japanese, Chinese, ドイツ語, ポルトガル語
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (79)
robotics10
cooperation10
robot10
interaction10
ros9
hierarchical9
actor-critic8
deep-reinforcement-learning8
platform-independent8
operations-research8
ignition8
mavlink8
autopilot8
ros-node8
optimization8
Programming languages (9)
Github contributions (5)
watakandai/hiro_pytorch
Nov 2019 - May 2021
Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
Contributions:2 reviews, 19 commits, 1 PR in 1 year 6 months
hierarchical-reinforcement-learninghiroreinforcement-learninghierarchicaldeep-reinforcement-learning
watakandai/specless
Nov 2023 - Aug 2024
SPECification Learning and Strategy Synthesis
Contributions:6 releases, 42 PRs, 145 pushes in 9 months
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