We study human grasping under a variety of conditions in order to identify and characterize different grasping strategies. Specially, we are interested in strategies that are robust to be performed under different kinds of impairment, e.g. visual. Our final goal, is to transfer those robust strategies to a robot.
In addition to subjects' grasping with their natural hands, we also observe them when they use soft robotic hands such as RBO Hand 2 and Pisa/IIT Hand. Our goal is to leverage their intuition in grasping to understand how robotic hands can be controlled and evaluate the transfer of their strategies to robotic hands.
Soft Manipulation (SoMa) - funded by the European Commission in the Horizon 2020 program, award number 645599, May 2015 - April 2019.
Alexander von Humboldt professorship - awarded by the Alexander von Humboldt foundation and funded through the Ministry of Education and Research, BMBF, July 2009 - June 2014