-
1
-
-
0023291807
-
UNIFIED APPROACH FOR MOTION AND FORCE CONTROL OF ROBOT MANIPULATORS: THE OPERATIONAL SPACE FORMULATION.
-
O. Khatib, "A unified approach for motion and force control of robot manipulators: The operational space formulation," Journal of Robotics and Automation, vol. 3, no. 1, pp. 43-53, 1987. (Pubitemid 17548950)
-
(1987)
IEEE journal of robotics and automation
, vol.RA-3
, Issue.1
, pp. 43-53
-
-
Khatib, O.1
-
2
-
-
85018742945
-
Synthesis of whole-body behaviors through hierarchical control of behavioral primitives
-
L. Sentis and O. Khatib, "Synthesis of whole-body behaviors through hierarchical control of behavioral primitives," International Journal of Humanoid Robotics, vol. 2, no. 4, pp. 505-518, 2005.
-
(2005)
International Journal of Humanoid Robotics
, vol.2
, Issue.4
, pp. 505-518
-
-
Sentis, L.1
Khatib, O.2
-
3
-
-
44649168729
-
Operational space control: A theoretical and emprical comparison
-
J. Nakanishi, R. Cory, M. Mistry, J. Peters, and S. Schaal, "Operational space control: a theoretical and emprical comparison," International Journal of Robotics Research, vol. 27, no. 6, pp. 737-757, 2008.
-
(2008)
International Journal of Robotics Research
, vol.27
, Issue.6
, pp. 737-757
-
-
Nakanishi, J.1
Cory, R.2
Mistry, M.3
Peters, J.4
Schaal, S.5
-
5
-
-
46249099027
-
-
Cambridge, MA: MIT-Press
-
B. Schölkopf and A. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MA: MIT-Press, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond
-
-
Schölkopf, B.1
Smola, A.2
-
6
-
-
0031074521
-
Locally weighted learning
-
C. G. Atkeson, A. W. Moore, and S. Schaal, "Locally weighted learning," Artificial Intelligence Review, vol. 11, no. 1-5, pp. 11-73, 1997.
-
(1997)
Artificial Intelligence Review
, vol.11
, Issue.1-5
, pp. 11-73
-
-
Atkeson, C.G.1
Moore, A.W.2
Schaal, S.3
-
7
-
-
38649095925
-
Learning to control in operational space
-
J. Peters and S. Schaal, "Learning to control in operational space,"International Journal of Robotics Research, vol. 27, no. 2, pp. 197-212, 2008.
-
(2008)
International Journal of Robotics Research
, vol.27
, Issue.2
, pp. 197-212
-
-
Peters, J.1
Schaal, S.2
-
10
-
-
44049116478
-
Forward models: Supervised learning with a distal teacher
-
I. Jordan and D. Rumelhart, "Forward models: Supervised learning with a distal teacher," Cognitive Science, vol. 16, pp. 307-354, 1992.
-
(1992)
Cognitive Science
, vol.16
, pp. 307-354
-
-
Jordan, I.1
Rumelhart, D.2
-
11
-
-
0032192424
-
Multiple paired forward and inverse models for motor control
-
DOI 10.1016/S0893-6080(98)00066-5, PII S0893608098000665
-
D. M. Wolpert and M. Kawato, "Multiple paired forward and inverse models for motor control," Neural Networks, vol. 11, pp. 1317-1329, 1998. (Pubitemid 28527128)
-
(1998)
Neural Networks
, vol.11
, Issue.7-8
, pp. 1317-1329
-
-
Wolpert, D.M.1
Kawato, M.2
-
12
-
-
51349139924
-
A learning framework for generic sensorymotor maps
-
M. Lopes and B. Damas, "A learning framework for generic sensorymotor maps," in International Conference on Intelligent Robots and Systems, San Diego, CA, 2007.
-
International Conference on Intelligent Robots and Systems, San Diego, CA, 2007
-
-
Lopes, M.1
Damas, B.2
-
16
-
-
0032594954
-
Input space versus feature space in kernel-based methods
-
B. Schölkopf, S. Mika, C. J. C. Burges, P. Knirsch, K.-R. Müller, G. Rätsch, and A. J. Smola, "Input space versus feature space in kernel-based methods," IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 1000-1017, 1999.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.5
, pp. 1000-1017
-
-
Schölkopf, B.1
Mika, S.2
Burges, C.J.C.3
Knirsch, P.4
Müller, K.-R.5
Rätsch, G.6
Smola, A.J.7
-
19
-
-
70449580824
-
Model learning with local gaussian process regression
-
D. Nguyen-Tuong and J. Peters, "Model learning with local gaussian process regression," Advanced Robotics, vol. 23, no. 15, pp. 2015-2034, 2009.
-
(2009)
Advanced Robotics
, vol.23
, Issue.15
, pp. 2015-2034
-
-
Nguyen-Tuong, D.1
Peters, J.2
|