@article {4119,
	title = {Integrating Wearable Haptics and Obstacle Avoidance for the Visually Impaired in Indoor Navigation: A User-Centered Approach},
	journal = {IEEE Transactions on Haptics},
	volume = {14},
	year = {2021},
	pages = {1-1},
	chapter = {109},
	doi = {10.1109/TOH.2020.2996748},
	url = {https://ieeexplore.ieee.org/document/9099604},
	author = {F. Barontini and M. G. Catalano and L. Pallottino and B. Leporini and M. Bianchi}
}
@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}
}
@article {2841,
	title = {An Integrated Approach to Characterize the Behavior of a Human Fingertip in Contact with a Silica Window},
	journal = {IEEE Transactions on Haptics},
	volume = {10},
	year = {2017},
	month = {01/2017},
	pages = {123-129},
	abstract = {<p class="rtejustify">Understanding the mechanisms of human tactual perception represents a challenging task in haptics and humanoid robotics. A classic approach to tackle this issue is to accurately and exhaustively characterize the mechanical behavior of human fingertip. The output of this characterization can then be exploited to drive the design of numerical models, which can be used to investigate in depth the mechanisms of human sensing. In this work, we present a novel integrated measurement technique and experimental set up for in vivo characterization of the deformation of the human fingertip at contact, in terms of contact area, force, deformation, and pressure distribution. The device presented here compresses the participant{\textquoteright}s fingertip against a flat surface, while the aforementioned measurements are acquired and experimental parameters such as velocity, finger orientation, and displacement (indentation) controlled. Experimental outcomes are then compared and integrated with the output of a 3D finite element (FE) model of the human fingertip, built upon existing validated models. The agreement between numerical and experimental data represents a validation for our approach.</p>
},
	keywords = {Haptics, Robotics},
	issn = {1939-1412},
	doi = { 10.1109/TOH.2016.2614679},
	url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7579582},
	author = {M. L. D{\textquoteright}Angelo and F. Cannella and M. Bianchi and M. D{\textquoteright}Imperio and E. Battaglia and M. Poggiani and G. Rossi and A. Bicchi and D. G. Caldwell}
}
@conference {2899,
	title = {Influence of Force Feedback on Grasp Force Modulation in Prosthetic Applications: a Preliminary Study},
	booktitle = {Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference },
	year = {2016},
	address = {Orlando, USA, August 16-20, 2016},
	doi = {10.1109/EMBC.2016.7591957},
	url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7591957},
	author = {S. B. Godfrey and M. Bianchi and A. Bicchi and M. Santello}
}
@article {3255,
	title = {Inhomogeneous point-processes to instantaneously assess affective haptic perception through heartbeat dynamics information},
	journal = {Scientific reports},
	volume = {6},
	year = {2016},
	keywords = {Bioengineering},
	author = {G. Valenza and A. Greco and L. Citi and M. Bianchi and R. Barbieri and E. P. Scilingo}
}
@conference {2621,
	title = {An instrumented manipulandum for human grasping studies},
	booktitle = {14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015},
	year = {2015},
	pages = {169-174},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Singapore, 11-14 Aug. 2015},
	doi = {10.1109/ICORR.2015.7281194},
	url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7281194},
	author = {Altobelli, A and M. Bianchi and M. G. Catalano and A. Serio and Baud-Bovy, G and A. Bicchi}
}
