Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. - Kei Ota; Devesh K. Jha; Tomoaki Oiki; Mamoru Miura; Takashi Nammoto; Daniel Nikovski; Toshisada Mariyama (IROS, 2019)

Deep Reactive Planning in Dynamic Environments. - Kei Ota; Devesh K. Jha; Tadashi Onishi; Asako Kanezaki; Yusuke Yoshiyasu; Yoko Sasaki; Toshisada Mariyama; Daniel Nikovski (CoRL, 2020)

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - Kei Ota; Tomoaki Oiki; Devesh K. Jha; Toshisada Mariyama; Daniel Nikovski (ICML, 2020)

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Kei Ota; Yoko Sasaki; Devesh K. Jha; Yusuke Yoshiyasu; Asako Kanezaki (IROS, 2020)

Towards Human-Level Learning of Complex Physical Puzzles. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (CoRR, 2020)

Training Larger Networks for Deep Reinforcement Learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 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 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (IEEE Robotics Autom. Lett., 2021)

Object Memory Transformer for Object Goal Navigation. - Rui Fukushima; Kei Ota; Asako Kanezaki; Yoko Sasaki; Yusuke Yoshiyasu (ICRA, 2022)

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. - Hana Hoshino; Kei Ota; Asako Kanezaki; Rio Yokota (ICRA, 2022)

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. - Kei Ota; Hsiao-Yu Tung; Kevin A. Smith 001; Anoop Cherian; Tim K. Marks; Alan Sullivan; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 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 (INTERSPEECH, 2023)

Tactile-Filter: Interactive Tactile Perception for Part Mating. - Kei Ota; Devesh K. Jha; Hsiao-Yu Tung; Joshua B. Tenenbaum (Robotics: Science and Systems, 2023)

Robust In-Hand Manipulation with Extrinsic Contacts. - Boyuan Liang; Kei Ota; Masayoshi Tomizuka; Devesh K. Jha (ICRA, 2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement. - Kei Ota; Devesh K. Jha; Krishna Murthy Jatavallabhula; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 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 (IROS, 2024)

A framework for training larger networks for deep Reinforcement learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (Mach. Learn., 2024)

Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. - Chiori Hori; Motonari Kambara; Komei Sugiura; Kei Ota; Sameer Khurana; Siddarth Jain; Radu Corcodel; Devesh K. Jha; Diego Romeres; Jonathan Le Roux (ICASSP, 2025)

Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models. - Masaru Yajima; Kei Ota; Asako Kanezaki; Rei Kawakami (CoRR, 2025)

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. - Kuanting Wu; Kei Ota; Asako Kanezaki (CoRR, 2025)

Modality Selection and Skill Segmentation via Cross-Modality Attention. - Jiawei Jiang; Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 2025)

Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. - Yuki Shirai; Kei Ota; Devesh K. Jha; Diego Romeres (CoRR, 2025)