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Tatsuya Matsushima
Tatsuya Matsushima
Sonstige Namen松嶋 達也
The University of Tokyo
Bestätigte E-Mail-Adresse bei weblab.t.u-tokyo.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Open X-Embodiment: Robotic Learning Datasets and RT-X Models: Open X-Embodiment Collaboration
A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024
458*2024
Deployment-efficient reinforcement learning via model-based offline optimization
T Matsushima, H Furuta, Y Matsuo, O Nachum, S Gu
International Conference on Learning Representations, 2021
1612021
Real-world robot applications of foundation models: A review
K Kawaharazuka, T Matsushima, A Gambardella, J Guo, C Paxton, ...
Advanced Robotics 38 (18), 1232-1254, 2024
392024
Co-adaptation of algorithmic and implementational innovations in inference-based deep reinforcement learning
H Furuta, T Kozuno, T Matsushima, Y Matsuo, SS Gu
Advances in neural information processing systems 34, 9828-9842, 2021
19*2021
Policy information capacity: Information-theoretic measure for task complexity in deep reinforcement learning
H Furuta, T Matsushima, T Kozuno, Y Matsuo, S Levine, O Nachum, ...
International Conference on Machine Learning, 3541-3552, 2021
192021
World robot challenge 2020–partner robot: a data-driven approach for room tidying with mobile manipulator
T Matsushima, Y Noguchi, J Arima, T Aoki, Y Okita, Y Ikeda, K Ishimoto, ...
Advanced Robotics 36 (17-18), 850-869, 2022
152022
Self-recovery prompting: Promptable general purpose service robot system with foundation models and self-recovery
M Shirasaka, T Matsushima, S Tsunashima, Y Ikeda, A Horo, S Ikoma, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 17395 …, 2024
92024
Tool as embodiment for recursive manipulation
Y Noguchi, T Matsushima, Y Matsuo, SS Gu
arXiv preprint arXiv:2112.00359, 2021
82021
Neuron as an Agent
S Ohsawa, K Akuzawa, T Matsushima, G Bezerra, Y Iwasawa, H Kajino, ...
62018
Collective intelligence for 2d push manipulations with mobile robots
S Kuroki, T Matsushima, J Arima, H Furuta, Y Matsuo, SS Gu, Y Tang
IEEE Robotics and Automation Letters 8 (5), 2820-2827, 2023
52023
Modeling task uncertainty for safe meta-imitation learning
T Matsushima, N Kondo, Y Iwasawa, K Nasuno, Y Matsuo
Frontiers in Robotics and AI 7, 606361, 2020
22020
TRAIL Team Description Paper for RoboCup@ Home 2023
C Tsuji, D Komukai, M Shirasaka, H Wada, T Omija, A Horo, D Furuta, ...
arXiv preprint arXiv:2310.03913, 2023
12023
M3IL: Multi-Modal Meta-Imitation Learning
X Zhang, T Matsushima, Y Matsuo, Y Iwasawa
Transactions of the Japanese Society for Artificial Intelligence 38 (2), A-LB3, 2023
1*2023
学生フォーラム [第 108 回] 学生フォーラムから探る若手研究者のキャリア形成
津村賢宏， 佐久間洋司， 西村優佑， 福島康太郎， 松嶋達也
人工知能 36 (6), 794-797, 2021
12021
学生フォーラム [第 107 回] 大澤正彦先生インタビュー 「ドラえもんから紐解く人工知能・ロボット」
津村賢宏， 松嶋達也， 宮本拓
人工知能 36 (5), 654-658, 2021
12021
Pixyz: 複雑な深層生成モデル開発のためのフレームワーク
鈴木雅大， 金子貴輝， 谷口尚平， 松嶋達也， 松尾豊
人工知能学会全国大会論文集 第 33 回 (2019), 1L2J1105-1L2J1105, 2019
12019
Special issue on real-world robot applications of the foundation models
K Kawaharazuka, T Matsushima, S Kurita, C Paxton, A Zeng, T Ogata, ...
Advanced Robotics 38 (18), 1231-1231, 2024
2024
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
S Kuroki, J Guo, T Matsushima, T Okubo, M Kobayashi, Y Ikeda, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 14792 …, 2024
2024
Data-driven Development Process in Service Robot Systems-Discussion Based on a Case Study from the World Robot Summit 2020 Partner Robot Challenge
T MATSUSHIMA, Y NOGUCHI, J ARIMA, KENO HARADA, T AOKI, ...
日本ロボット学会誌 42 (2), 189-192, 2024
2024
NLP2024 併設ワークショップ 「大規模言語モデルの実世界応用」
吉野幸一郎， 谷口忠大， 持橋大地， 河原塚健人， 松嶋達也， 品川政太朗， ...
自然言語処理 31 (2), 809-815, 2024
2024
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