Advancing Self-Driving Car Design, Other Shared Human – and Machine – Controlled Systems

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July 28, 2016 | Originally published by Date Line: July 28 on

University of Massachusetts Amherst computer science graduate students Kyle Wray and Luis Pineda , with their professor Shlomo Zilberstein, today described a new approach to managing the challenge of transferring control between a human and an autonomous system, in a paper they presented at the International Joint Conference on Artificial Intelligence in New York City.

Their theoretical work, tested in experiments in a driving simulator should help to advance the development of safe semi-autonomous systems (SAS) such as self-driving cars. Such systems rely on human supervision and occasional transfer of control between the human and the automated systems, Zilberstein explains.