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Languages for Physical Human-Robot Interaction
Modern approaches to the design of robots with increasing amounts of embodied intelligence affect human-robot interaction paradigms. The physical structure of robots is evolving from traditional rigid, heavy industrial machines into soft bodies exhibiting new levels of versatility, adaptability, safety, elasticity, dynamism and energy efficiency. New challenges and opportunities arise for the control of soft robots: for instance, carefully planning for collision avoidance may no longer be a dominating concern, being on the contrary physical interaction with the environment not only allowed, but even desirable to solve complex tasks. To address these challenges, it is often useful to look at how humans use their own bodies in similar tasks, and even in some cases have a direct dialog between the natural and artificial counterparts.
Antonio Bicchi is Professor of Robotics at the University of Pisa, and Senior Scientist at the Italian Institute of Technology in Genoa. He graduated from the University of Bologna in 1988 and was a postdoc scholar at M.I.T. Artificial Intelligence lab in 1988 — 1990. He teaches Control Systems and Robotics in the Department of Information Engineering (DII) of the University of Pisa, leads the Robotics group at the Research Center "E. Piaggio'' of the University of Pisa since 1990, where he was Director from 2003 to 2012. He is an Adjunct Professor at the School of Biological and Health Systems Engineering of Arizona State University since 2013.