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2020 – today
- 2024
[c7]Hiroto Iino
, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata:
Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. SII 2024: 478-483- [c6]Suzuka Harada, Ryoichi Nakajo, Kei Kase, Tetsuya Ogata:
Automatic Segmentation of Continuous Time-Series Data Based on Prediction Error Using Deep Predictive Learning. SII 2024: 928-933 - 2023
- [j4]Yukiko Osawa, Kei Kase, Yoshiyuki Furukawa, Yukiyasu Domae:
Active Heat Flow Sensing for Robust Material Identification. IEEE Access 11: 143896-143906 (2023) - [i3]Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata:
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics. CoRR abs/2306.14714 (2023) - 2022
- [j3]Kei Kase, Ai Tateishi, Tetsuya Ogata:
Robot Task Learning With Motor Babbling Using Pseudo Rehearsal. IEEE Robotics Autom. Lett. 7(3): 8377-8382 (2022) - [c5]Kei Kase, Chikara Utsumi, Yukiyasu Domae, Tetsuya Ogata:
Use of Action Label in Deep Predictive Learning for Robot Manipulation. IROS 2022: 13459-13465 - [c4]Yukiko Osawa, Kei Kase, Yukiyasu Domae, Yoshiyuki Furukawa, Abderrahmane Kheddar:
Material Classification Using Active Temperature Controllable Robotic Gripper. SII 2022: 479-484 - 2021
- [j2]Kei Kase, Noboru Matsumoto, Tetsuya Ogata:
Leveraging Motor Babbling for Efficient Robot Learning. J. Robotics Mechatronics 33(5): 1063-1074 (2021) - [i2]Yukiko Osawa, Kei Kase, Yukiyasu Domae, Yoshiyuki Furukawa, Abderrahmane Kheddar:
Material Classification Using Active Temperature Controllable Robotic Gripper. CoRR abs/2111.15344 (2021) - 2020
- [c3]Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. ICRA 2020: 10459-10465 - [i1]Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. CoRR abs/2003.03726 (2020)
2010 – 2019
- 2019
- [c2]Kei Kase, Ryoichi Nakajo, Hiroki Mori, Tetsuya Ogata:
Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors. IROS 2019: 4244-4249 - 2018
- [c1]Kei Kase, Kanata Suzuki, Pin-Chu Yang, Hiroki Mori, Tetsuya Ogata:
Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning. ICRA 2018: 6447-6452 - 2017
- [j1]Pin-Chu Yang, Kazuma Sasaki, Kanata Suzuki, Kei Kase, Shigeki Sugano, Tetsuya Ogata:
Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning. IEEE Robotics Autom. Lett. 2(2): 397-403 (2017)
Coauthor Index
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