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2020
V. Arapi, Zhang, Y., Averta, G., Santina, C. Della, and Bianchi, M., Deep learning techniques for modelling human manipulation and its translation for autonomous robotic grasping with soft end-effectors, in AI for Emerging Verticals: Human-Robot Computing, Sensing and Networking, 2020, p. 1.
G. Carolina Bettelani, Averta, G., Catalano, M. Giuseppe, Leporini, B., and Bianchi, M., Design and validation of the readable device: a single-cell electromagnetic refreshable braille display, IEEE transactions on haptics, vol. 13, pp. 239–245, 2020 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8977385?casa_token=Whveda1oPfUAAAAA:TckOs-jL10attMxYLB5f9Khv-cgn6HNiXxzPY4mx0iFvi3o1djI0eDmWTwZRNhysGAvlGqO3PDF icon 08977385.pdf (2 MB)
G. Averta and Hogan, N., Enhancing Robot-Environment Physical Interaction via Optimal Impedance Profiles, in 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2020, pp. 973–980 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9224382?casa_token=DSkaK3dAPPkAAAAA:StieCV4AS8yHWgvXnIALxRInxUT_yBqDCv7KG27OFI0yi2PG_UBDiWYwZOR9acbYmsaTYXsQPDF icon 09224382.pdf (4.05 MB)
A. Bicchi, Averta, G., and Bianchi, M., Functional analysis of upper-limb movements in the Cartesian domain, 2020.
G. Averta, Bettelani, G. C., Santina, C. Della, and Bianchi, M., Kineto-Dynamic Modeling of Human Upper Limb for Robotic Manipulators and Assistive Applications, in Advances in Motor Neuroprostheses, Springer, 2020, pp. 23–51 [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-030-38740-2_3
G. Averta, Arapi, V., Bicchi, A., Santina, C. Della, and Bianchi, M., Modeling Human Motor Skills to Enhance Robots’ Physical Interaction, 2020.
L. Cenceschi, Santina, C. Della, Averta, G., Garabini, M., Fu, Q., Santello, M., Bianchi, M., and Bicchi, A., Modeling Previous Trial Effect in Human Manipulation through Iterative Learning Control, Advanced Intelligent Systems, vol. 2, p. 1900074, 2020 [Online]. Available: https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.201900074PDF icon aisy.201900074.pdf (3.21 MB)
V. Arapi, Zhang, Y., Averta, G., Catalano, M. G., Rus, D., Santina, C. Della, and Bianchi, M., To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands, in 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), 2020, pp. 653–660 [Online]. Available: https://ieeexplore.ieee.org/document/9116041PDF icon 09116041.pdf (1.93 MB)