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Tag Graffiti Markup Language

Graffiti-Tech: Robotagger

Yeah! Der erste Roboter, der taggen kann: “A labor-saving device for graffiti artists. An assistive tool or telematic proxy for taggers working in harsh environments. Long-needed relief for graffiti artists with RSI. Or simply, pure research into as-yet-untrammeled intersections of automation and architecture. We give you: the ROBOTAGGER, an industrial robot arm programmed with GML, the new “Graffiti Markup Language” created by Evan Roth and pals at the FAT Lab.” Mehr dazu auch hier, ist Teil von diesem Projekt: Graffiti Analysis 2.0 & Graffiti Markup Language. Via

Graffiti Analysis 2.0 & Graffiti Markup Language

News aus dem Graffiti Research Lab: “I (Evan Roth) have teamed up with artist and OpenFrameworks bada55 Chris Sugrue to create Graffiti Analysis 2.0. The GA2.0 software suite consists of (i) the Capture application (PC/OSX/Linux), which records graffiti tags in motion and exports them as .gml files; (ii) the Playback application (PC/OSX/Linux), which imports .gml files and creates data visualizations based on gestural graffiti movement and (iii) DustTag (the GA2.0 iPhone application), which captures graffiti tags and uploads them directly to 000000book.com, an open online database of .gml data. GA2.0 is an ongoing initiative that has been used to capture data from prominent graffiti writers including SEEN, TWIST, AMAZE, KETONE, JON ONE and KATSU, all of which can be downloaded for playback at graffitianalysis.com/tags. GA2.0 is available online for free in an effort to build the world’s largest archive of graffiti motion data and encourage collaboration between graffiti writers (by uploading data) and hackers (by building systems which utilize that data).” Via/Via