Guilherme Jorge Maeda
Guilherme Jorge Maeda
Preferred Networks
確認したメール アドレス: gjmaeda.com - ホームページ
タイトル引用先
Practical control method for ultra-precision positioning using a ballscrew mechanism
GJ Maeda, K Sato
Precision Engineering 32 (4), 309-318, 2008
672008
Learning multiple collaborative tasks with a mixture of interaction primitives
M Ewerton, G Neumann, R Lioutikov, HB Amor, J Peters, G Maeda
2015 IEEE International Conference on Robotics and Automation (ICRA), 1535-1542, 2015
562015
Learning interaction for collaborative tasks with probabilistic movement primitives
G Maeda, M Ewerton, R Lioutikov, HB Amor, J Peters, G Neumann
2014 IEEE-RAS International Conference on Humanoid Robots, 527-534, 2014
502014
Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks
GJ Maeda, G Neumann, M Ewerton, R Lioutikov, O Kroemer, J Peters
Autonomous Robots 41 (3), 593-612, 2017
442017
A practical control method for precision motion—Improvement of NCTF control method for continuous motion control
K Sato, GJ Maeda
Precision Engineering 33 (2), 175-186, 2009
402009
Control of an XY nano-positioning table for a compact nano-machine tool
GJ Maeda, K Sato, H Hashizume, T Shinshi
JSME International Journal Series C Mechanical Systems, Machine Elements and …, 2006
242006
Phase estimation for fast action recognition and trajectory generation in human–robot collaboration
G Maeda, M Ewerton, G Neumann, R Lioutikov, J Peters
The International Journal of Robotics Research 36 (13-14), 1579-1594, 2017
192017
Probabilistic segmentation applied to an assembly task
R Lioutikov, G Neumann, G Maeda, J Peters
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
172015
Learning motor skills from partially observed movements executed at different speeds
M Ewerton, G Maeda, J Peters, G Neumann
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
152015
Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation
G Maeda, DC Rye, IR Manchester
IEEE Transactions on Control Systems Technology 23 (5), 1754 - 1769, 2015
152015
Iterative autonomous excavation
GJ Maeda, DC Rye, SPN Singh
Field and service robotics, 369-382, 2014
122014
Active incremental learning of robot movement primitives
G Maeda, M Ewerton, T Osa, B Busch, J Peters
CoRL 2017-1st Annual Conference on Robot Learning, 37-46, 2017
112017
Learning manipulation by sequencing motor primitives with a two-armed robot
R Lioutikov, O Kroemer, G Maeda, J Peters
Intelligent Autonomous Systems 13, 1601-1611, 2016
112016
Learning and reacting with inaccurate prediction: applications to autonomous excavation
GJ Maeda
University of Sydney., 2013
112013
Acquiring and generalizing the embodiment mapping from human observations to robot skills
G Maeda, M Ewerton, D Koert, J Peters
IEEE Robotics and Automation Letters 1 (2), 784-791, 2016
102016
Online optimal trajectory generation for robot table tennis
O Koç, G Maeda, J Peters
Robotics and Autonomous Systems 105, 121-137, 2018
92018
Learning movement primitive libraries through probabilistic segmentation
R Lioutikov, G Neumann, G Maeda, J Peters
The International Journal of Robotics Research 36 (8), 879-894, 2017
92017
Practical ultraprecision positioning of a ball screw mechanism
K Sato, GJ Maeda
International Journal of Precision Engineering and Manufacturing 9 (2), 44-49, 2008
92008
A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation
G Maeda, G Neumann, M Ewerton, R Lioutikov, J Peters
Robotics Research, 253-268, 2018
82018
Demonstration based trajectory optimization for generalizable robot motions
D Koert, G Maeda, R Lioutikov, G Neumann, J Peters
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
82016
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