Research/Creative Activities Symposium

Roomba vacuums bedazzled and programmed to "dance" in synchronicity when "called to the dance floor" (used Raspberry Pi and Python). The piece consisted of three Roombas - one pink, one metallic silver, one gold.	This photo shows a fully evolved and realized (i.e. new and improved) presentation, originally created for the Research and Creative Activities Symposium for the University of Colorado at Denver, as shown in the following photos...)	The kiosk in background contained three buttons which viewers could push - each playing a different soundtrack and initiating the Roombas to leave their docks and come to the 'dance floor' synchronistically. Programmed with Raspberry Pi and Python.
Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.	Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.	Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.
Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.	Being filmed for University of Colorado's Youtube Channel

Watch theYouTube VIDEO of this work on the University of Colorado Denver channel

Air (soundtrack 1)performers from musical Hair

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Stranded in the Jungle (soundtrack 2)Featuring the Cadets

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My Way (soundtrack 3)featuring Frank Sinatra

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Listen to soundtrack mashups that "call the Roombas" to the dance floor (used Adobe Audition to create these)...

JULIE JABLONSKI

Roomba vacuums bedazzled and programmed to "dance" in synchronicity when "called to the dance floor" (used Raspberry Pi and Python). The piece consisted of three Roombas - one pink, one metallic silver, one gold.

This photo shows a fully evolved and realized (i.e. new and improved) presentation, originally created for the Research and Creative Activities Symposium for the University of Colorado at Denver, as shown in the following photos...)

The kiosk in background contained three buttons which viewers could push - each playing a different soundtrack and initiating the Roombas to leave their docks and come to the 'dance floor' synchronistically. Programmed with Raspberry Pi and Python.

Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.

Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.

Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: Roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.

Winner of People's Choice Award - Research and Creative Activities Symposium at University of Colorado Denver: roomba vacuums programmed (via Raspberry Pies and using Python) to synchronistically come out when called "to the dance floor" by hand-crafted mashup soundtrack.

Being filmed for University of Colorado's Youtube Channel