Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Apprenticeship learning via inverse reinforcement learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning user preferences for sets of objects
ICML '06 Proceedings of the 23rd international conference on Machine learning
Planning Algorithms
Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
On using mixed-initiative control: a perspective for managing large-scale robotic teams
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
A survey of robot learning from demonstration
Robotics and Autonomous Systems
Learning grasping affordances from local visual descriptors
DEVLRN '09 Proceedings of the 2009 IEEE 8th International Conference on Development and Learning
Active Learning for Reward Estimation in Inverse Reinforcement Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Learning optimal subsets with implicit user preferences
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
International Journal of Robotics Research
Active learning in partially observable markov decision processes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions
Robotics and Autonomous Systems
Personalization in HRI: a longitudinal field experiment
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
ICSR'12 Proceedings of the 4th international conference on Social Robotics
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We have developed a robotic system that interacts with the user, and through repeated interactions, adapts to the user so that the system becomes semi-autonomous and acts proactively. In this work we show how to design a system to meet a user's preferences, show how robot pro-activity can be learned and provide an integrated system using verbal instructions. All these behaviors are implemented in a real platform that achieves all these behaviors and is evaluated in terms of user acceptability and efficiency of interaction.