uncanny valley

Video: Einstein Robot Teaches Itself To Smile

Toeing the uncanny valley's edge

Robo-Einstein Learns to Smile:  Erik Jepsen/UC San Diego
According to developmental psychologists, as infants, we learn to govern our bodies through a process of random experimentation and feedback. We contort our faces into weird shapes, watch our parents react, and then switch up our movements accordingly.

Now, computer scientists at the University of California, San Diego are applying this same strategy to robotics research. Through the use of machine learning, they’ve made it possible for their robot–an Einstein lookalike–to teach itself to make realistic facial expressions.

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"Virtual Camera" Captures Actors’ Movements for Resident Evil 5

Motion capture technology allows actors to emote while fighting video game zombies

Motion capture technology has worked its magic for years by digitally translating actors’ movements into films and video games. But makers of the popular Resident Evil video games upped the ante – they used one of only four existing "virtual cameras" to help create the fifth game in the series.

Actors Reuben Langdon and Karen Dyer throw punches and lunge, while the virtual camera's screen shows their real-time movements translated through their video game characters. The camera itself has the appearance of a video game controller, appropriately enough.

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Science of YouTube

Video: Why Artificial Intelligence Threatens Actual Intelligence

Spooked? In our first episode of The Science of YouTube, we take a ride down into the Uncanny Valley and explore why this robot might freak you out


Way back in 1919 Sigmund Freud postulated his concept of the uncanny. In the (cleverly named) The Uncanny, Freud explored a problem of aesthetics—when something is both familiar and unknown the experience of viewing it can be strongly unsettling. Fifty years later, roboticist Masahiro Mori presented his own work on the uncanny. Drawing heavily on his predecessor's work, Mori developed his "uncanny valley" hypothesis.

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December 2009: Best of What's New

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