Graduate students at the Georgia Institute of Technology have built a graffiti-painting robot system that mimics the fluidity of human movement. Named GTGraffiti, the system uses motion capture technology to record human painting motions and then composes and processes the gestures to program a cable-driven robot that spray paints graffiti artwork.
The project was devised by robotics Ph.D. student Gerry Chen, in collaboration with Juan-Diego Florez, a fellow graduate student; Frank Dellaert, robotics professor in the School of Interactive Computing; Seth Hutchinson, professor and KUKA Chair for Robotics; and Sang-won Leigh, assistant professor in the School of Industrial Design. The team's peer-reviewed study of the robot system was presented at ICRA 2022, the IEEE International Conference on Robotics and Automation.
The team used motion capture technology to record human artists painting, then captured hand and spray paint can trajectories. The team processed that data to analyze motions for speed, acceleration, and size, and used the information in designing the robot.
From Georgia Institute of Technology
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