Research
研究
研究業績
カテゴリー
研究領域
年
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“Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
Open X-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anikait Singh, Animesh Garg, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Hao-Shu Fang, Haochen Shi, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jiajun Wu, Jialin Wu, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jitendra Malik, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Joseph J. Lim, João Silvério, Junhyek Han, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Zhang, Krishan Rana, Krishnan Srinivasan, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Lionel Ott, Lisa Lee, Masayoshi Tomizuka, Max Spero, Maximilian Du, Michael Ahn , Mingtong Zhang, Mingyu Ding, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Pannag R Sanketi, Paul Wohlhart, Peng Xu, Pierre Sermanet, Priya Sundaresan, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Sudeep Dasari, Suneel Belkhale, Takayuki Osa, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xuanlin Li, Yao Lu, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zhuo Xu, Zichen Jeff Cui
2024 IEEE International Conference on Robotics and Automation (ICRA2024)
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“Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model”
Xin Zhang*, Jiaxian Guo*, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)
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“Suspicion Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4”
Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo
“Suspicion Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4”
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2023年度人工知能学会研究会(Sig-AGI)優秀賞
山川 宏, 田和辻可昌, 芦原佑太, 布川絢子, 荒川直哉, 高橋恒一, 松尾豊,
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文書生成タスクに対する強化学習応用における文書生成器のサンプルに非依存な報酬関数学習フレームワークの提案
冨山翔司, 鈴木雅大, 落合桂一, 松尾豊
電子情報通信学会和文論文誌D, (2024)
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ガウス過程潜在変数モデルとニューラルネットワークの統合によるマルチエージェント記号創発と潜在表現学習
中村友昭, 鈴木雅大, 谷口彰, 谷口忠大
日本ロボット学会誌(レター), (2024)
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Experimental study for a computational model in ITS to predict the learners’ state
Yoshimasa Tawatsuji
International Conference on Computers in Education (ICCE 2023). December 2023.
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Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). December 2023.
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DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views
Paul Yoo, Jiaxian Guo, Xin Zhang, Yutaka Matsuo, Shixiang Shane Gu
XRNerf workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
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AIによって自律化が進む米国軍事技術の動向
岡島義憲,山川宏
第25回 人工知能学会 汎用人工知能研究会