OSA TAKAYUKI 長隆之

… Alternative Names

Osa Takayuki 長隆之

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Researcher Number	50804663
Other IDs	https://orcid.org/0000-0002-6895-9088
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, チームディレクター
Affiliation (based on the past Project Information) *help	2022 – 2025: 東京大学, 大学院情報理工学系研究科, 准教授 2019 – 2021: 九州工業大学, 大学院生命体工学研究科, 准教授
Review Section/Research Field	Principal Investigator Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Basic Section 61030:Intelligent informatics-related / Medium-sized Section 61:Human informatics and related fields / Basic Section 61050:Intelligent robotics-related Except Principal Investigator Basic Section 61050:Intelligent robotics-related / Intelligent robotics
Keywords	Principal Investigator 深層強化学習 / メタモデル / few-shot適応 / 内的報酬 / オフライン強化学習 / ニューラルネットワーク / 深層学習 / 軌道最適化 / ロボット / 動作計画 / ロボティクス / 軌道計画 / 強化学習 … More Except Principal Investigator … More 運動学習 / 運動計画 / 物理的インタラクション / テンセグリティ / 冗長性 / ソフトロボット / テンセグリティロボット / 知能ロボティックス / 計測工学 / 機械学習 / 機械力学・制御 / 知能ロボティクス Less

オフライン強化学習と大規模データセットによるVision-language actionモデルの構築Principal Investigator
- Principal Investigator
  
  長隆之
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo
Development of Reinfrocement Learning Algorithm and Intrinsic Rewards for Meta-modelsPrincipal Investigator
- Principal Investigator
  
  長隆之
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  The University of Tokyo
Motion planning with redundant and flexible robots using active contacts
- Principal Investigator
  
  池本周平
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61050:Intelligent robotics-related
- Research Institution
  Kyushu Institute of Technology
Hierarchical Reinforcement Learning for Autonomous Motion Planning with Real RobotsPrincipal Investigator
- Principal Investigator
  
  Osa Takayuki
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61050:Intelligent robotics-related
- Research Institution
  The University of Tokyo
  Kyushu Institute of Technology
Understanding the Human Skill of Clothing Assistance and its Transfer to a Dual-Arm Robot System
- Principal Investigator
  
  Shibata Tomohiro
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Intelligent robotics
- Research Institution
  Kyushu Institute of Technology

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Motion planning by learning the solution manifold in trajectory optimization2022
- Author(s)
  Osa Takayuki
- Journal Title
  
  The International Journal of Robotics Research
  
  Volume: - Issue: 3 Pages: 281-311
- DOI
  10.1177/02783649211044405
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Deep Reinforcement Learning With Adversarial Training for Automated Excavation Using Depth Images2022
- Author(s)
  Osa Takayuki、Aizawa Masanori
- Journal Title
  
  IEEE Access
  
  Volume: 10 Pages: 4523-4535
- DOI
  10.1109/access.2022.3140781
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Discovering diverse solutions in deep reinforcement learning by maximizing state?action-based mutual information2022
- Author(s)
  Osa Takayuki、Tangkaratt Voot、Sugiyama Masashi
- Journal Title
  
  Neural Networks
  
  Volume: 152 Pages: 90-104
- DOI
  10.1016/j.neunet.2022.04.009
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Hierarchical Deep Reinforcement Learning for Robots2021
- Author(s)
  長隆之
- Journal Title
  
  Journal of the Robotics Society of Japan
  
  Volume: 39 Issue: 7 Pages: 613-616
- DOI
  10.7210/jrsj.39.613
- NAID
  130008083627
- ISSN
  0289-1824, 1884-7145
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Multimodal Trajectory Optimization for Motion Planning2020
- Author(s)
  Takayuki Osa
- Journal Title
  
  The International Journal of Robotics Research
  
  Volume: 39 Issue: 8 Pages: 1-19
- DOI
  10.1177/0278364920918296
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Hierarchical Stochastic Optimization with Application to Parameter Tuning for Electronically Controlled Transmissions2020
- Author(s)
  Hiroyuki Karasawa, Tomohiro Kanemaki, Kei Oomae, Rui Fukui, Masayuki Nakao, Takayuki Osa
- Journal Title
  
  IEEE Robotics and Automation Letters
  
  Volume: 5 Issue: 2 Pages: 628-635
- DOI
  10.1109/lra.2020.2965085
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Journal Article] Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes2020
- Author(s)
  Takayuki Osa, Shuhei Ikemoto
- Journal Title
  
  SN Computer Science
  
  Volume: 1 Issue: 5
- DOI
  10.1007/s42979-020-00324-7
- NAID
  120007147069
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20370, KAKENHI-PROJECT-18H01410, KAKENHI-PROJECT-19K22875
[Presentation] Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks2024
- Author(s)
  Takayuki Osa, Tatsuya Harada
- Organizer
  The IEEE International Conferences on Robotics and Automation (ICRA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K18476
[Presentation] Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning2024
- Author(s)
  Takayuki Osa, Tatsuya Harada
- Organizer
  The International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K18476
[Presentation] Discovering diverse solutions in reinforcement learning2023
- Author(s)
  Takayuki Osa
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] What should we learn in a robot-learning system?2022
- Author(s)
  Takayuki Osa
- Organizer
  2nd RL-CONFORM Workshop at IEEE/RSJ International Conference on Intelligent Robots and Systems
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] 深層強化学習による掘削動作の異なる土質へのfewshot adaptation2022
- Author(s)
  筬島直人、逢澤正憲、長隆之
- Organizer
  第40回日本ロボット学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] Dealing with the objective function with multiple extrema in robot learning2022
- Author(s)
  Takayuki Osa
- Organizer
  Conference on Robot Learning
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] 動的障害物回避のための多峰性最適化を用いたオンライン軌道計画法2022
- Author(s)
  是澤真由、長隆之
- Organizer
  第40回日本ロボット学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] 多様なロボットの挙動を学習する深層強化学習2021
- Author(s)
  長隆之
- Organizer
  第39回日本ロボット学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] 解の潜在空間を用いた軌道計画2020
- Author(s)
  長隆之
- Organizer
  第38回日本ロボット学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] How should we design a robot learning system?2019
- Author(s)
  Takayuki Osa
- Organizer
  Workshop on Robot Learning: Control and Interaction in the Real World, NeurIPS 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics2019
- Author(s)
  Johannes Ackerman, Takayuki Osa, Masashi Sugiyama
- Organizer
  NeurIPS 2019 Deep Reinforcement Learning Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20370
[Presentation] Trajectory optimization via density estimation2019
- Author(s)
  Takayuki Osa
- Organizer
  第37回日本ロボット学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K20370

1. Shibata Tomohiro (40359873)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 為井智也 (40548434)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 池本周平 (00588353)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

OSA TAKAYUKI 長 隆之

Osa Takayuki 長 隆之

Research Projects

Research Products

Co-Researchers

オフライン強化学習と大規模データセットによるVision-language actionモデルの構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of Reinfrocement Learning Algorithm and Intrinsic Rewards for Meta-modelsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Motion planning with redundant and flexible robots using active contacts

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Hierarchical Reinforcement Learning for Autonomous Motion Planning with Real RobotsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Understanding the Human Skill of Clothing Assistance and its Transfer to a Dual-Arm Robot System

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Motion planning by learning the solution manifold in trajectory optimization2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep Reinforcement Learning With Adversarial Training for Automated Excavation Using Depth Images2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Discovering diverse solutions in deep reinforcement learning by maximizing state?action-based mutual information2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Hierarchical Deep Reinforcement Learning for Robots2021

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Multimodal Trajectory Optimization for Motion Planning2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Hierarchical Stochastic Optimization with Application to Parameter Tuning for Electronically Controlled Transmissions2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes2020

Author(s)

Journal Title

DOI

NAID

Data Source

[Presentation] Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks2024

Author(s)

Organizer

Data Source

[Presentation] Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning2024

Author(s)

OSA TAKAYUKI 長隆之

Osa Takayuki 長隆之

[Presentation] 動的障害物回避のための多峰性最適化を用いたオンライン軌道計画法2022