Daniel Rakita

Daniel studies the correspondence between human motions and actions and robot motions and actions.  For instance, he has developed a telemanipulation method that maps human arm motions to robot arm motions in real-time to afford intuitive control of robot arms using a novel motion synthesis algorithm called RelaxedIK, an automatic dynamic camera method that continuously optimizes a viewpoint for a remote user, and a robot bimanual shared-control method inspired by how people naturally perform bimanual manipulations.