@article{maedaAcquiringGeneralizingEmbodiment2016,
  title = {Acquiring and {{Generalizing}} the {{Embodiment Mapping From Human Observations}} to {{Robot Skills}}},
  volume = {1},
  issn = {2377-3766},
  number = {2},
  journal = {IEEE Robotics and Automation Letters},
  doi = {10.1109/LRA.2016.2525038},
  author = {Maeda, G. and Ewerton, M. and Koert, D. and Peters, J.},
  month = jul,
  year = {2016},
  keywords = {7 degree-of-freedom,DoF arm,embodiment mapping,golf swing,human demonstrator,Human Factors and Human-in-the-Loop,human observations,human-robot structural associations,intelligent robots,kinematic mapping,Kinematics,Learning and Adaptive Systems,marker tracking,Motion and Path Planning,Optimization,Optimization and Optimal Control Maeda2016RAL_Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills RAL,robot imitation,robot kinematic structure,robot kinematics,Robot kinematics,robot learner,robot reproduction,robot skills,Service robots,Shape,task-specific costs,Trajectory},
  pages = {784-791},
}