Kei Kase

According to our database, Kei Kase authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States.

Hiroto Iino, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata

Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning.

Suzuka Harada, Ryoichi Nakajo, Kei Kase, Tetsuya Ogata

Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

2023

Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics.

Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata

CoRR, 2023

Active Heat Flow Sensing for Robust Material Identification.

Yukiko Osawa, Kei Kase, Yoshiyuki Furukawa, Yukiyasu Domae

IEEE Access, 2023

2022

Robot Task Learning With Motor Babbling Using Pseudo Rehearsal.

Kei Kase, Ai Tateishi, Tetsuya Ogata

IEEE Robotics Autom. Lett., 2022

Material Classification Using Active Temperature Controllable Robotic Gripper.

Yukiko Osawa, Kei Kase, Yukiyasu Domae, Yoshiyuki Furukawa, Abderrahmane Kheddar

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Use of Action Label in Deep Predictive Learning for Robot Manipulation.

Kei Kase, Chikara Utsumi, Yukiyasu Domae, Tetsuya Ogata

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Leveraging Motor Babbling for Efficient Robot Learning.

Kei Kase, Noboru Matsumoto, Tetsuya Ogata

J. Robotics Mechatronics, 2021

2020

Transferable Task Execution from Pixels through Deep Planning Domain Learning.

Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors.

Kei Kase, Ryoichi Nakajo, Hiroki Mori, Tetsuya Ogata

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning.

Kei Kase, Kanata Suzuki, Pin-Chu Yang, Hiroki Mori, Tetsuya Ogata

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning.

Pin-Chu Yang, Kazuma Sasaki, Kanata Suzuki, Kei Kase, Shigeki Sugano, Tetsuya Ogata

IEEE Robotics Autom. Lett., 2017