While pursuing the goal of having autonomous helicopters perform extreme aerial aerobatics under computer control, Stanford University scientists discovered that writing command and control code from scratch was unsuitable for all but the most basic aerial routines. Their solution… have the helicopters ‘learn’ directly from experts.
Apparently, the answer is yes. In this first-of-its-kind study, researchers from the Clinic for Psychiatry and Psychotherapy at RWTH Aachen University used functional magnetic resonance imaging (fMRI) to study human interaction and perspective taking during human/machine interactions. The study found that at the neural cortical level during human/machine game play, there is a linear relationship between the ‘human-likeness’ of a robot and the degree to which the interaction is perceived to be human-human by the human participant.
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The University of Pennsylvania School of Engineering and Applied Science has received the largest single award in the School’s 156-year history to help create the fundamental networks and technologies that will put unmanned machines on the front lines of battle.
A one-year $430,000 award, funded through the U.S. Army at White Sands Missile Range, has been awarded to Georgia Tech Research Institute for the development of a test and evaluation roadmap for unmanned and autonomous systems. The roadmap will address all five major unmanned and autonomous systems domains, including airborne systems, ground based systems and underwater systems, as well as sea surface and space based systems.
