On Learning, Representing, and Generalizing a Task in a Humanoid Robot, On Learning, pp.286-298, 2007. ,
DOI : 10.1109/TSMCB.2006.886952
Robot Programming by Demonstration, pp.1371-1394, 2008. ,
DOI : 10.1007/978-3-540-30301-5_60
Learning collaborative manipulation tasks by demonstration using a haptic interface, Proc. Intl Conf. on Advanced Robotics, 2009. ,
URL : https://hal.archives-ouvertes.fr/lirmm-00796370
Handling of multiple constraints and motion alternatives in a robot programming by demonstration framework, 2009 9th IEEE-RAS International Conference on Humanoid Robots, 2009. ,
DOI : 10.1109/ICHR.2009.5379592
Natural methods for robot task learning, Proceedings of the second international joint conference on Autonomous agents and multiagent systems , AAMAS '03, pp.241-248, 2003. ,
DOI : 10.1145/860575.860614
Incremental learning of tasks from user demonstrations, past experiences and vocal comments Special issue on robot learning by observation, demonstration and imitation, IEEE Transactions on Systems, Man and Cybernetics, Part B, pp.322-332, 2007. ,
Learning task models from multiple human demonstrations, Title, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp.358-363, 2006. ,
DOI : 10.1109/roman.2006.314460
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.6749
Correspondence Mapping Induced State and Action Metrics for Robotic Imitation, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.2, pp.299-307, 2007. ,
DOI : 10.1109/TSMCB.2006.886947
Of hummingbirds and helicopters: An algebraic framework for interdisciplinary studies of imitation and its applications, Interdisciplinary approaches to robot learning, pp.136-161, 2000. ,
The correspondence problem, Imitation in animals and artifacts, pp.41-61, 2002. ,
Robot programming by human demonstration: adaptation and inconsistency in constrained motion, Proceedings of IEEE International Conference on Robotics and Automation, pp.30-36, 1996. ,
DOI : 10.1109/ROBOT.1996.503569
Trajectory generation from noisy positions of object features for teaching robot paths, Robotics and Autonomous Systems, vol.11, issue.2, pp.113-127, 1993. ,
DOI : 10.1016/0921-8890(93)90015-5
Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model, Neural Networks, vol.19, issue.3, pp.323-337, 2006. ,
DOI : 10.1016/j.neunet.2006.02.007
Incremental learning of gestures by imitation in a humanoid robot, Proceeding of the ACM/IEEE international conference on Human-robot interaction , HRI '07, pp.255-262, 2007. ,
DOI : 10.1145/1228716.1228751
Programming by Demonstration: A Probabilistic Approach, 2009. ,
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. B, vol.39, issue.1, pp.1-38, 1977. ,
Learning inverse dynamics by Gaussian process regression under the multi-task learning framework, The Path to Autonomous, pp.131-142, 2009. ,
LWPR : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space, Proc. of Seventeenth International Conference on Machine Learning (ICML2000) Stanford, California, pp.1079-1086, 2000. ,
Local Gaussian Processes Regression for Real-time Model-based Robot Control, Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.380-385, 2008. ,
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001. ,
DOI : 10.1145/1961189.1961199
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words, IEEE Transactions on Robotics, vol.24, issue.5, 2008. ,
DOI : 10.1109/TRO.2008.2004514
URL : https://hal.archives-ouvertes.fr/hal-00652598
Supervised learning from incomplete data via an EM approach, Advances in Neural Information Processing Systems, pp.120-127, 1994. ,