Group formed at UC Berkeley to improve human interaction with automated cars, drones

Researchers at the University of California, Berkeley, have formed a group to develop and verify the design of human-machine interfaces for controlling so-called cyber-physical systems, such as self-driving cars and autonomous delivery drones, which integrate computational and physical components to improve productivity, efficiency and the quality of life.Known as VeHICaL, for Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems, the group is funded with 4.6 million US dollars over five years from the US National Science Foundation (NSF) and, as it draws upon interdisciplinary research, includes researchers from the California Institute of Technology and the University of North Carolina, Chapel Hill.Project leader Sanjit Seshia, a professor of electrical engineering and computer sciences at UC Berkeley, said VeHICaL aims to gain a deeper understanding of how humans and machines can…


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