Bio
Antonio Pistillo is a PhD student at ADVR since January 2010. He holds a MSc (2009) and a BSc (2006) in Automation Engineering from the Electronics and Information Dept, Politecnico di Milano, Italy.
During his MSc thesis, he developed a dynamic probabilistic system based on Hidden Markov Models to ensure safe and productive collaboration between human users and robots in the context of an industrial robotic cell.
In 2006-2007, he was a visiting student at the Brunel University, London, UK, where he worked on a project aiming at optimizing the task execution time of a Staubli robot.
His PhD work focuses on developing learning and control strategies for safe physical human-robot interaction with the absence of barriers. The purposes of his research are the construction of models that allow a user friendly transfer of skills from humans to robots and their intuitive collaboration. Such methods are tested employing mainly a Barrett WAM robotic platform.
