‘Amelia and the Machine’ is the first in a series of investigations of creative human-robot teams led by Dr. Kate Sicchio (choreography) and Dr. Patrick Martin (robotics). It explores gestures of the robot arm as a starting point for a duet. Interacting through mimicry, timings and spatial patterns, this piece examines choreography beyond our own human bodies and how we begin to dance with machines.
By creating choreographic performances with dancers and robots the team aims to explore movement, improvisation and intertwined moments of creativity as a way to examine how autonomous moving systems can learn from dancers and how choreography can be expanded through the use of bodies beyond humans.
Created with LoCoBot mobile manipulator robot and custom python script
Credits: Choreography: Kate Sicchio, Alicia Olivo Dancer: Amelia Virtue Robotics: Patrick Martin, Charlies Dietzel, Alicia Olivo Music: Melody Loveless, Kate Sicchio Video Projection: Tamara Denson, Taylor Colimore, Kate Sicchio
Created and performed by Mark Wheeler (aka Mark Eats), This City is an audio-visual performance that explores what happens when a soundtrack controls the world as much as the world influences its soundtrack. The project is a combination of a soundtrack and realtime generative visuals, both played live.
Created by Marta Revuelta, AI Facial Profiling, Levels of Paranoia is a project exploring the potential and implication of AI technologies by proposing a machine that recognises the ability of an individual to handle firearms and predicts their potential to cause harm from a biometric analysis of their face.
‘Algorithmic Drive’ is an interactive installation and performance inspired by inspired by autonomous cars and dash cam compilations. The work plays with the tension generated by confronting the technologies used by mobile robotics with the unpredictable nature of the world.
Created by Richard Vijgen, ‘Through Artificial Eyes’ is an interactive installation that lets the audience look at 558 episodes of VPRO Tegenlicht (Dutch Future Affairs Documentary series) through the eyes of a computer vision Neural Network.
Since 2008, CAN has been at the forefront of innovation – facilitating and driving the conversations about technology, society and critical making. From online/offline publications to live events, CAN’s initiatives have played an instrumental in shaping the innovative creative practices we know today.
