AMAZON DANCE | The Picking Algorithm
with Katerina El Raheb
video performance 60 min.
2021 color 16:9 4K
project winner of the European Media Art Platform Prize 2021 (EMAP)
produced by Onassis STEGI in Athens, GR
AMAZON DANCE | The Picking Algorithm
with Katerina El Raheb
video performance 60 min.
2021 color 16:9 4K
project winner of the European Media Art Platform Prize 2021 (EMAP)
produced by Onassis STEGI in Athens, GR
Amazon Dance is a video performance, part of a research work that aims to study algorithms that are used in factories such as Amazon, in order to find the minimum time and most efficient way to arrange and deliver items in large warehouses, a process which is costly and time consuming. Although many of these tasks are performed by humans, their “routes” are perfectly predetermined based on algorithms and their movements are specific so as to achieve the goals of each shift: picking the maximum number of products.
Together with Katerina El Raheb, choreographer and informatics researcher, they worked on this “translation” researching how such an algorithm could be embodied and represented in space. They wonder: Is executing a precise choreography, perhaps, awkwardly close to executing commands in the industrial space? In the final piece, we see four human machines that perform the algorithm with their bodies. The choreography consists of stages that correspond to the different parts of the algorithm they use for the design of picking routes at warehouses. When all the stages are completed, the whole cycle starts again in a loop that lasts for one hour of labor. |
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© Andreas Loukakos. 2021