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JacksonBot – Design, Simulation and Optimal Control of an Action Painting Robot

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Arts and Technology (ArtsIT 2009)

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.

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Raschke, M., Mombaur, K., Schubert, A. (2010). JacksonBot – Design, Simulation and Optimal Control of an Action Painting Robot. In: Huang, F., Wang, RC. (eds) Arts and Technology. ArtsIT 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11577-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-11577-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11576-9

  • Online ISBN: 978-3-642-11577-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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