Kei Ota - RankMe

43 papers A* 6A 6Misc 4Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Non-Prehensile Manipulation With Force and Vision Feedback Using Optimization-Based Demonstrations. IEEE Robotics Autom. Lett. Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2026	J	`jnl`	Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing. IEEE Robotics Autom. Lett. Mark Van der Merwe, Kei Ota, Dmitry Berenson, Nima Fazeli, Devesh K. Jha
2026	J	`jnl`	Touch2Insert: Zero-Shot Peg Insertion by Touching Intersections of Peg and Hole. CoRR Masaru Yajima, Yuma Shin, Rei Kawakami, Asako Kanezaki, Kei Ota
2025	J	`jnl`	AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation. CoRR 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
2025	A	`conf`	Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization. IROS Akshay Jaitly, Devesh K. Jha, Kei Ota, Yuki Shirai
2025	J	`jnl`	Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization. CoRR Akshay Jaitly, Devesh K. Jha, Kei Ota, Yuki Shirai
2025	Misc	`conf`	FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. MVA Kuanting Wu, Kei Ota, Asako Kanezaki
2025	J	`jnl`	FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. CoRR Kuanting Wu, Kei Ota, Asako Kanezaki
2025	Misc	`conf`	Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. ICASSP Chiori Hori, Motonari Kambara, Komei Sugiura, Kei Ota, Sameer Khurana, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. CoRR Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2025	Misc	`conf`	Modality Selection and Skill Segmentation via Cross-Modality Attention. MVA Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki
2025	J	`jnl`	Modality Selection and Skill Segmentation via Cross-Modality Attention. CoRR Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki
2025	J	`jnl`	Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing. CoRR Mark Van der Merwe, Kei Ota, Dmitry Berenson, Nima Fazeli, Devesh K. Jha
2025	A	`conf`	Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models. IROS Masaru Yajima, Kei Ota, Asako Kanezaki, Rei Kawakami
2025	J	`jnl`	Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models. CoRR Masaru Yajima, Kei Ota, Asako Kanezaki, Rei Kawakami
2024	J	`jnl`	A framework for training larger networks for deep Reinforcement learning. Mach. Learn. Kei Ota, Devesh K. Jha, Asako Kanezaki
2024	A	`conf`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. IROS Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	J	`jnl`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	A*	`conf`	Robust In-Hand Manipulation with Extrinsic Contacts. ICRA Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
2024	J	`jnl`	Robust In-Hand Manipulation with Extrinsic Contacts. CoRR Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
2024	A*	`conf`	Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
2023	A*	`conf`	H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2023	J	`jnl`	Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	A	`conf`	Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	J	`jnl`	Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
2023	—	`conf`	Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
2023	J	`jnl`	Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
2022	J	`jnl`	H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2022	A*	`conf`	OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. ICRA Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota
2022	A*	`conf`	Object Memory Transformer for Object Goal Navigation. ICRA Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu
2022	J	`jnl`	Object Memory Transformer for Object Goal Navigation. CoRR Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu
2021	J	`jnl`	Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021	J	`jnl`	OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. CoRR Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota
2021	J	`jnl`	Training Larger Networks for Deep Reinforcement Learning. CoRR Kei Ota, Devesh K. Jha, Asako Kanezaki
2020	A*	`conf`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	Misc	`conf`	Deep Reactive Planning in Dynamic Environments. CoRL Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Deep Reactive Planning in Dynamic Environments. CoRR Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	A	`conf`	Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
2020	J	`jnl`	Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
2020	J	`jnl`	Towards Human-Level Learning of Complex Physical Puzzles. CoRR Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2019	A	`conf`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
2019	J	`jnl`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama