Research Article
JacksonBot – Design, Simulation and Optimal Control of an Action Painting Robot
@INPROCEEDINGS{10.1007/978-3-642-11577-6_16, author={Michael Raschke and Katja Mombaur and Alexander Schubert}, title={JacksonBot -- Design, Simulation and Optimal Control of an Action Painting Robot}, proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers}, proceedings_a={ARTSIT}, year={2012}, month={5}, keywords={Action painting robotic tool to generate art works algorithmic motion generation dynamic motion}, doi={10.1007/978-3-642-11577-6_16} }- Michael Raschke
Katja Mombaur
Alexander Schubert
Year: 2012
JacksonBot – Design, Simulation and Optimal Control of an Action Painting Robot
ARTSIT
Springer
DOI: 10.1007/978-3-642-11577-6_16
Abstract
We present the robotics platform JacksonBot which is capable to produce paintings inspired by the Action Painting style of Jackson Pollock. A dynamically moving robot arm splashes color from a container at the end effector on the canvas. The paintings produced by this platform rely on a combination of the algorithmic generation of robot arm motions with random effects of the splashing color. The robot can be considered as a complex and powerful tool to generate art works programmed by a user. Desired end effector motions can be prescribed either by mathematical functions, by point sequences or by data glove motions. We have evaluated the effect of different shapes of input motions on the resulting painting. In order to compute the robot joint trajectories necessary to move along a desired end effector path, we use an optimal control based approach to solve the inverse kinematics problem.
