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Journal Articles
- 2024
[j2]Kei Ota
, Devesh K. Jha, Asako Kanezaki:
A framework for training larger networks for deep Reinforcement learning. Mach. Learn. 113(9): 6115-6139 (2024)- 2021
- [j1]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): 4241-4248 (2021)
Conference and Workshop Papers
- 2025
- [c15]Chiori Hori, Motonari Kambara, Komei Sugiura, Kei Ota, Sameer Khurana, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux:
Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. ICASSP 2025: 1-5 - [c14]Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki:
Modality Selection and Skill Segmentation via Cross-Modality Attention. MVA 2025: 1-6 - [c13]Kuanting Wu, Kei Ota, Asako Kanezaki:
FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. MVA 2025: 1-6 - 2024
- [c12]Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha:
Robust In-Hand Manipulation with Extrinsic Contacts. ICRA 2024: 6544-6550 - [c11]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA 2024: 13876-13882 - [c10]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. IROS 2024: 13525-13532 - 2023
- [c9]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: 7272-7278 - [c8]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: 4663-4667 - [c7]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems 2023 - 2022
- [c6]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. ICRA 2022: 448-454 - [c5]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. ICRA 2022: 11288-11294 - 2020
- [c4]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: 1943-1957 - [c3]Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020: 7424-7433 - [c2]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS 2020: 6061-6068 - 2019
- [c1]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: 3487-3494
Informal and Other Publications
- 2025
- [i20]Masaru Yajima, Kei Ota, Asako Kanezaki, Rei Kawakami:
Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models. CoRR abs/2503.06026 (2025) - [i19]Kuanting Wu, Kei Ota, Asako Kanezaki:
FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. CoRR abs/2504.14535 (2025) - [i18]Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki:
Modality Selection and Skill Segmentation via Cross-Modality Attention. CoRR abs/2504.14573 (2025) - [i17]Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres:
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. CoRR abs/2508.01082 (2025) - [i16]Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni, Jumpei Arima, Yuta Takaba, Shunsuke Maeda, Takuya Okubo, Genki Sano, Satoshi Sekioka, Aoi Kadoya, Motonari Kambara, Naoya Nishiura, Haruto Suzuki, Takanori Yoshimoto, Koya Sakamoto, Shinnosuke Ono, Hu Yang, Daichi Yashima, Aoi Horo, Tomohiro Motoda, Kensuke Chiyoma, Hiroshi Ito, Koki Fukuda, Akihito Goto, Kazumi Morinaga, Yuya Ikeda, Riko Kawada, Masaki Yoshikawa, Norio Kosuge, Yuki Noguchi, Kei Ota, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo, Tetsuya Ogata:
AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation. CoRR abs/2509.25032 (2025) - [i15]Akshay Jaitly, Devesh K. Jha, Kei Ota, Yuki Shirai:
Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization. CoRR abs/2509.26459 (2025) - 2024
- [i14]Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha:
Robust In-Hand Manipulation with Extrinsic Contacts. CoRR abs/2403.18960 (2024) - [i13]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 abs/2406.05331 (2024) - 2023
- [i12]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR abs/2303.06034 (2023) - [i11]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 abs/2306.15644 (2023) - [i10]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR abs/2309.14552 (2023) - 2022
- [i9]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. CoRR abs/2203.14708 (2022) - [i8]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 abs/2210.12521 (2022) - 2021
- [i7]Kei Ota, Devesh K. Jha, Asako Kanezaki:
Training Larger Networks for Deep Reinforcement Learning. CoRR abs/2102.07920 (2021) - [i6]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. CoRR abs/2109.04307 (2021) - 2020
- [i5]Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR abs/2003.01629 (2020) - [i4]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR abs/2003.01641 (2020) - [i3]Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. CoRR abs/2011.00155 (2020) - [i2]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 abs/2011.07193 (2020) - 2019
- [i1]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 abs/1903.05751 (2019)
Coauthor Index
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