Kei Ota

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Audio Visual Speech Recognition

Bayesian Nonparametric

Scene Understanding

Top Venues

IEEE Robotics Autom. Lett.

Publications

Kei Ota, Devesh K. Jha, Asako Kanezaki
A framework for training larger networks for deep Reinforcement learning. Mach. Learn. 113 (9) (2024)
Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
Robust In-Hand Manipulation with Extrinsic Contacts. ICRA (2024)
Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
Robust In-Hand Manipulation with Extrinsic Contacts. CoRR (2024)
Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR (2024)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA (2024)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR (2023)
Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR (2023)
Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems (2023)
Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA (2023)
Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR (2023)
Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH (2023)
Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR (2022)
Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu
Object Memory Transformer for Object Goal Navigation. ICRA (2022)
Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. ICRA (2022)
Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu
Object Memory Transformer for Object Goal Navigation. CoRR (2022)
Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. CoRR (2021)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Kei Ota, Devesh K. Jha, Asako Kanezaki
Training Larger Networks for Deep Reinforcement Learning. CoRR (2021)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRR (2020)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRL (2020)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Towards Human-Level Learning of Complex Physical Puzzles. CoRR (2020)
Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML (2020)
Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR (2020)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR (2019)