Takayuki Osa
Takayuki Osa
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Zitiert von
Zitiert von
An algorithmic perspective on imitation learning
T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters
Foundations and Trends® in Robotics 7 (1-2), 1-179, 2018
Reducing overestimation bias in multi-agent domains using double centralized critics
J Ackermann, V Gabler, T Osa, M Sugiyama
arXiv preprint arXiv:1910.01465, 2019
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
Online Trajectory Planning and Force Control for Automation of Surgical Tasks
T Osa, N Sugita, M Mitsuishi
IEEE Transactions on Automation Science and Enigneering 15 (2), 675-691, 2018
Automation of tissue piercing using circular needles and vision guidance for computer aided laparoscopic surgery
C Staub, T Osa, A Knoll, R Bauernschmitt
2010 IEEE International Conference on Robotics and Automation, 4585-4590, 2010
Framework of automatic robot surgery system using visual servoing
T Osa, C Staub, A Knoll
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
Analysis and estimation of cutting-temperature distribution during end milling in relation to orthopedic surgery
N Sugita, T Osa, M Mitsuishi
Medical engineering & physics 31 (1), 101-107, 2009
A new cutting method for bone based on its crack propagation characteristics
N Sugita, T Osa, R Aoki, M Mitsuishi
CIRP annals 58 (1), 113-118, 2009
Active Incremental Learning of Robot Movement Primitives
G Maeda, M Ewerton, T Osa, B Busch, J Peters
Conference on Robot Learning, 2017
Multimodal trajectory optimization for motion planning
T Osa
The International Journal of Robotics Research 39 (8), 983-1001, 2020
A learning-based shared control architecture for interactive task execution
F Abi-Farraj, T Osa, NPJ Peters, G Neumann, PR Giordano
2017 IEEE international conference on robotics and automation (ICRA), 329-335, 2017
Guiding Trajectory Optimization by Demonstrated Distributions
T Osa, AM Ghalamzan E., R Stolkin, R Lioutikov, J Peters, G Neumann
IEEE Robotics and Automation Letters 2 (2), 819-826, 2017
Online Trajectory Planning in Dynamic Environments for Surgical Task Automation.
T Osa, N Sugita, M Mitsuishi
Robotics: Science and Systems, 1-9, 2014
Hand-held bone cutting tool with autonomous penetration detection for spinal surgery
T Osa, CF Abawi, N Sugita, H Chikuda, S Sugita, T Tanaka, H Oshima, ...
IEEE/ASME Transactions on Mechatronics 20 (6), 3018-3027, 2015
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
T Osa, V Tangkaratt, M Sugiyama
The Seventh International Conference on Learning Representations (ICLR 2019), 2019
Trajectory planning under different initial conditions for surgical task automation by learning from demonstration
T Osa, K Harada, N Sugita, M Mitsuishi
2014 IEEE International Conference on Robotics and Automation (ICRA), 6507-6513, 2014
Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information
T Osa, V Tangkaratt, M Sugiyama
Neural Networks 152, 90-104, 2022
Hierarchical reinforcement learning of multiple grasping strategies with human instructions
T Osa, J Peters, G Neumann
Advanced Robotics, 2018
Sample and feedback efficient hierarchical reinforcement learning from human preferences
R Pinsler, R Akrour, T Osa, J Peters, G Neumann
2018 IEEE international conference on robotics and automation (ICRA), 596-601, 2018
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies
T Osa, J Peters, G Neumann
Proceedings of the International Symposium on Experimental Robotics (ISER), 2016
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