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Goldsmiths - University of London

Learning dynamic graffiti strokes with a compliant robot

Berio, Daniel; Calinon, Sylvain and Leymarie, Frederic Fol. 2016. 'Learning dynamic graffiti strokes with a compliant robot'. In: IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS). Daejeon, Korea, Republic of 10-14 October 2016. [Conference or Workshop Item] (Forthcoming)

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Official URL: http://iros2016.org/

Abstract or Description

We present an approach to generate rapid and fluid drawing movements on a compliant Baxter robot, by taking advantage of the kinematic redundancy and torque control capabilities of the robot. We concentrate on the task of reproducing graffiti-stylised letter-forms with a marker. For this purpose, we exploit a compact lognormal-stroke based representation of movement to generate natural drawing trajectories. An Expectation-Maximisation (EM) algorithm is used to iteratively improve tracking performance with low gain feedback control. The resulting system captures the aesthetic and dynamic features of the style under investigation and permits its reproduction with a compliant controller that is safe for users surrounding the robot.

Item Type: Conference or Workshop Item (Paper)
Additional Information:

IROS is one of the main international annual robotics conferences.

Departments, Centres and Research Units: Computing
Event Location: Daejeon, Korea, Republic of
Date range: 10-14 October 2016
Item ID: 18857
Date Deposited: 02 Sep 2016 13:29
Last Modified: 27 Oct 2016 12:42
URI: http://research.gold.ac.uk/id/eprint/18857

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