Kei Kase is an author at Waseda University specializing in multi-task learning, computer science, and planning.
Top concepts
PlanningRoboticsEngineeringDeep LearningTask PlanningRobot LearningComputer ScienceMachine LearningDomain AdaptationTransfer Learning
Publications per year
2016–2020
5
5
Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning
Pin-Chu Yang, Kazuma Sasaki, Kanata Suzuki et al. · IEEE Robotics and Automation Letters · 2016 · 232 citations
Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning
Kei Kase, Kanata Suzuki, Pin-Chu Yang et al. · 2018 · 31 citations
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