Keyframe-based Learning from Demonstration, International Journal of Social Robotics, vol.6, issue.2, p.2012 ,
DOI : 10.1007/s12369-012-0160-0
Learning tasks and skills together from a human teacher, AAAI, 2011. ,
Robot Programming by Demonstration with Interactive Action Visualizations, Robotics: Science and Systems X, 2014. ,
DOI : 10.15607/RSS.2014.X.048
RoboFlow: A flow-based visual programming language for mobile manipulation tasks, 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015. ,
DOI : 10.1109/ICRA.2015.7139973
A survey of robot learning from demonstration, Robotics and Autonomous Systems, vol.57, issue.5, 2009. ,
DOI : 10.1016/j.robot.2008.10.024
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. ,
DOI : 10.1109/IROS.2015.7353415
URL : https://hal.archives-ouvertes.fr/hal-01246455
Top-down induction of first-order logical decision trees, Artificial Intelligence, vol.101, issue.1-2, 1998. ,
DOI : 10.1016/S0004-3702(98)00034-4
Teaching people how to teach robots, Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction, HRI '14, 2014. ,
DOI : 10.1145/2559636.2559675
Interactive policy learning through confidence-based autonomy, Journal of Artificial Intelligence Research, vol.34, 2009. ,
A roadmap for us robotics: from internet to robotics Computing Community Consortium, 2009. ,
A helping hand for europe, 2010. ,
Greedy function approximation: a gradient boosting machine, Annals of statistics, vol.29, issue.5, 2001. ,
Robot learning simultaneously a task and how to interpret human instructions, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2013. ,
DOI : 10.1109/DevLrn.2013.6652523
URL : https://hal.archives-ouvertes.fr/hal-00850703
Donut as I do: Learning from failed demonstrations, 2011 IEEE International Conference on Robotics and Automation, 2011. ,
DOI : 10.1109/ICRA.2011.5979757
Learning motor primitives for robotics, 2009 IEEE International Conference on Robotics and Automation, 2009. ,
DOI : 10.1109/ROBOT.2009.5152577
Active learning for teaching a robot grounded relational symbols, IJCAI, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00871858
Active Learning for Reward Estimation in Inverse Reinforcement Learning, ECML/PKDD, 2009. ,
DOI : 10.1007/978-3-642-04174-7_3
Disruptive technologies: Advances that will transform life, business, and the global economy, McKinsey Global Institute, 2013. ,
Active learning of manipulation sequences, 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014. ,
DOI : 10.1109/ICRA.2014.6907693
Robot self-initiative and personalization by learning through repeated interactions, Proceedings of the 6th international conference on Human-robot interaction, HRI '11, 2011. ,
DOI : 10.1145/1957656.1957814
URL : https://hal.archives-ouvertes.fr/hal-00636164
Imitation learning in relational domains: A functional-gradient boosting approach, IJCAI, 2011. ,
Incremental Semantically Grounded Learning from Demonstration, Robotics: Science and Systems IX, 2013. ,
DOI : 10.15607/RSS.2013.IX.048
Learning and generalization of complex tasks from unstructured demonstrations, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. ,
DOI : 10.1109/IROS.2012.6386006
Learning and generalization of motor skills by learning from demonstration, 2009 IEEE International Conference on Robotics and Automation, 2009. ,
DOI : 10.1109/ROBOT.2009.5152385
Gesture-Based Extraction of Robot Skill Parameters for Intuitive Robot Programming, Journal of Intelligent & Robotic Systems, vol.30, issue.1, 2015. ,
DOI : 10.1007/s10846-015-0219-x
Automatic segmentation and recognition of human activities from observation based on semantic reasoning, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. ,
DOI : 10.1109/IROS.2014.6943279
Is imitation learning the route to humanoid robots?, Trends in Cognitive Sciences, vol.3, issue.6, 1999. ,
DOI : 10.1016/S1364-6613(99)01327-3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.9005