@article {3447,
	title = {Incrementality and Hierarchies in the Enrollment of Multiple Synergies for Grasp Planning},
	journal = {IEEE Robotics and Automation Letters},
	volume = {3},
	year = {2018},
	month = {July},
	pages = {2686-2693},
	keywords = {19-DoF anthropomorphic hand, Biomechanics, common grasping tasks, compliant joint/mechanism, covariance matrices, experimental covariance matrix, Force, force distribution, grasp planning, Grasping, grippers, hand posture reconstruction, hand-object relative pose, incremental learning algorithm, Jacobian matrices, joint angle covariation patterns, learning (artificial intelligence), minimisation, multifingered hands, pose estimation, postural hand synergies, postural synergies, posture description, principal component analysis, reduced complexity representation, relative statistical weight, Robots, Solid modeling, synergy vectors, Task analysis},
	doi = {10.1109/LRA.2018.2829027},
	author = {G. Averta and F. Angelini and M. Bonilla and M. Bianchi and A. Bicchi}
}
@conference {3451,
	title = {Separating haptic guidance from task dynamics: A practical solution via cutaneous devices},
	booktitle = {2018 IEEE Haptics Symposium (HAPTICS)},
	year = {2018},
	month = {March},
	pages = {20-25},
	keywords = {Biomechanics, cutaneous forces, cutaneous guidance, Dynamics, Exoskeletons, guidance condition, guidance cues, guidance forces, haptic feedback, haptic guidance, haptic interfaces, human movement, kinesthetic guidance, rendering (computer graphics), separate haptic cues, Skin, Task analysis, task completion strategies, task complexity, task dynamics, task forces, Training, Trajectory, Wrist},
	doi = {10.1109/HAPTICS.2018.8357147},
	author = {E. Pezent and S. Fani and J. Bradley and M. Bianchi and M. K. O{\textquoteright}Malley}
}
