Kei Ota

According to our database, Kei Ota authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

A framework for training larger networks for deep Reinforcement learning.

Kei Ota, Devesh K. Jha, Asako Kanezaki

Mach. Learn., September, 2024

Autonomous Robotic Assembly: From Part Singulation to Precise Assembly.

Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Tactile Estimation of Extrinsic Contact Patch for Stable Placement.

Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Robust In-Hand Manipulation with Extrinsic Contacts.

Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Tactile-Filter: Interactive Tactile Perception for Part Mating.

Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos.

Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.

Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching.

Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Object Memory Transformer for Object Goal Navigation.

Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.

Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

IEEE Robotics Autom. Lett., 2021

Training Larger Networks for Deep Reinforcement Learning.

Kei Ota, Devesh K. Jha, Asako Kanezaki

CoRR, 2021

2020

Towards Human-Level Learning of Complex Physical Puzzles.

Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

CoRR, 2020

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path.

Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Reactive Planning in Dynamic Environments.

Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning.

Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama

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