Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Katharina Mülling"'
Autor:
Arun Venkatraman, Jennifer L. Collinger, Jeffrey M Weiss, John E. Downey, Jean-Sebastien Valois, Katharina Mülling, Andrew B. Schwartz, Shervin Javdani, Martial Hebert, J. Andrew Bagnell
Publikováno v:
Robotics: Science and Systems
Robot teleoperation systems face a common set of challenges including latency, low-dimensional user commands, and asymmetric control inputs. User control with Brain- Computer Interfaces (BCIs) exacerbates these problems through especially noisy and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c0053ad048f9448b3a4006f9c5077ac
Autor:
Bernhard Schölkopf, Marc Peter Deisenroth, Zhikun Wang, Katharina Mülling, David Vogt, Heni Ben Amor, Jan Peters
Publikováno v:
The International Journal of Robotics Research. 32:841-858
Intention inference can be an essential step toward efficient human–robot interaction. For this purpose, we propose the Intention-Driven Dynamics Model (IDDM) to probabilistically model the generative process of movements that are directed by the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dcd9dd531e03270bbf486819edc0344
https://doi.org/10.1177/0278364913478447
https://doi.org/10.1177/0278364913478447
Publikováno v:
Scopus-Elsevier
Learning new motor tasks from physical interactions is an important goal for both robotics and machine learning. However, when moving beyond basic skills, most monolithic machine learning approaches fail to scale. For more complex skills, methods tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ba0f1f3a981108c88f18e171af3dc8
https://doi.org/10.1177/0278364912472380
https://doi.org/10.1177/0278364912472380
Publikováno v:
Experimental Robotics ISBN: 9783642285714
ISER
ISER
Efficient acquisition of new motor skills is among the most important abilities in order to make robot application more flexible, reduce the amount and cost of human programming as well as to make future robots more autonomous. However, most machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c45533408d297e6c81af60d2b10873a
https://doi.org/10.1007/978-3-642-28572-1_24
https://doi.org/10.1007/978-3-642-28572-1_24
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
ECML/PKDD (3)
ECML/PKDD (3)
Learning robots that can acquire new motor skills and refine existing ones have been a long-standing vision of both robotics, and machine learning. However, off-the-shelf machine learning appears not to be adequate for robot skill learning, as it nei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e969f3d03930388fa6761a2c76dae4
https://doi.org/10.1007/978-3-642-40994-3_42
https://doi.org/10.1007/978-3-642-40994-3_42
Publikováno v:
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)
Playing table tennis is a difficult task for robots, especially due to their limitations of acceleration. A key bottleneck is the amount of time needed to reach the desired hitting position and velocity of the racket for returning the incoming ball.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672bcbdd28b490d634b8d09b0e75370e
https://doi.org/10.1109/iros.2011.6094892
https://doi.org/10.1109/iros.2011.6094892
Autor:
Jan Peters, Katharina Mülling, Yevgeny Seldin, Yasemin Altun, Ali Mohammad-Djafari, Jean-François Bercher, Pierre Bessiére
Publikováno v:
AIP Conference Proceedings
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature convergence and implausible solutions. As first suggested in the context of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f89dc89fd0bd3f28c3beb1fa61bc824
https://hdl.handle.net/21.11116/0000-0002-81C9-9
https://hdl.handle.net/21.11116/0000-0002-81C9-9
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642194566
ISRR
Robotics Research: The 14th International Symposium ISRR
Springer Tracts in Advanced Robotics
ISRR
Robotics Research: The 14th International Symposium ISRR
Springer Tracts in Advanced Robotics
Learning robots that can acquire new motor skills and refine existing one has been a long standing vision of robotics, artificial intelligence, and the cognitive sciences. Early steps towards this goal in the 1980s made clear that reasoning and human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9de31f6fb2385c8e07c1ae305669c10
https://doi.org/10.1007/978-3-642-19457-3_28
https://doi.org/10.1007/978-3-642-19457-3_28
Publikováno v:
IROS
Adaptive Behavior
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)
Adaptive Behavior
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)
Playing table tennis is a difficult motor task that requires fast movements, accurate control, and adaptation to task parameters. Although human beings see and move slower than most robot systems, they significantly outperform all table tennis robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8ec80027175d75bdfb6796f8cc6e0b0
https://doi.org/10.1109/iros.2010.5650305
https://doi.org/10.1109/iros.2010.5650305
Autor:
Christoph H. Lampert, Oliver Krömer, Katharina Mülling, Jan Peters, Jens Kober, Bernhard Schölkopf
Publikováno v:
2010 IEEE International Conference on Robotics and Automation (ICRA 2010)
ICRA
ICRA
Hitting and batting tasks, such as tennis forehands, ping-pong strokes, or baseball batting, depend on predictions where the ball can be intercepted and how it can properly be returned to the opponent. These predictions get more accurate over time, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99eada1ceae1be834459996774efe1cc
https://hdl.handle.net/11858/00-001M-0000-0013-C046-9
https://hdl.handle.net/11858/00-001M-0000-0013-C046-9