.6 million grant to improve how automated cars, drones interact with humans

Student Katherine Rose Driggs Campbell in a driving simulator. As companies contemplate putting self-driving cars on our city streets, driverless trucks on our freeways and autonomous delivery drones overhead, UC Berkeley engineers are embarking on a major project to improve the safety of these vehicles and how they interact with humans. With $4.6 million over five years from the National Science Foundation, the researchers have formed a group called VeHICaL, for Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems, to develop and verify the design of human-machine interfaces for controlling so-called cyber-physical systems. Cyber-physical systems integrate computational and physical components to improve productivity, efficiency and the quality of life. VeHICaL aims to gain a deeper understanding of how humans and machines can collaborate to perform safety- and mission-critical tasks…


Link to Full Article: .6 million grant to improve how automated cars, drones interact with humans

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