Now Reading:
When Will Machines Achieve Human Agility?
Full Article 2 minutes read

The question is real: when will machines achieve human agility?

Through a series of futurist films exploring human-machine collaboration through performance and emerging technologies called Hype Cycle, the collective Universal Everything built experiments with motion studies.

Machine Learning is the second set of films in the Hype Cycle series. Set in a spacious, well-worn dance studio, a dancer teaches a series of robots how to move. As the robots’ abilities develop from shaky mimicry to composed mastery, a physical dialogue emerges between man and machine – mimicking, balancing, challenging, competing, outmanoeuvring.

These human-machine interactions from Universal Everything are inspired by the Hype Cycle trend graphs produced by Gartner Research, a valiant attempt to predict future expectations and disillusionments as new technologies come to market.

Can the robot keep up with the dancer? At what point does the robot outperform the dancer? Would a robot ever perform just for pleasure? Does giving a machine a name give it a soul?

Universal Everything is a global collective of video artists, experience designers and future thinkers. They recently collaborated with Barbican Center in London, UK with the installation Future You.


Creative Director: Matt Pyke
Animation: Joe Street
Sound Designer: Simon Pyke (Freefarm)
Senior Producer: Greg Povey
Motion Capture: ­Audio Motion
Dancer /Choreographer: Dwayne-Antony Simms

Input your search keywords and press Enter.