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Article

Sensorless Pose Determination Using Randomized Action Sequences

1
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
2
Department Of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(2), 154; https://doi.org/10.3390/e21020154
Received: 14 December 2018 / Revised: 18 January 2019 / Accepted: 4 February 2019 / Published: 6 February 2019
This paper is a study of 2D manipulation without sensing and planning, by exploring the effects of unplanned randomized action sequences on 2D object pose uncertainty. Our approach follows the work of Erdmann and Mason’s sensorless reorienting of an object into a completely determined pose, regardless of its initial pose. While Erdmann and Mason proposed a method using Newtonian mechanics, this paper shows that under some circumstances, a long enough sequence of random actions will also converge toward a determined final pose of the object. This is verified through several simulation and real robot experiments where randomized action sequences are shown to reduce entropy of the object pose distribution. The effects of varying object shapes, action sequences, and surface friction are also explored. View Full-Text
Keywords: manipulation; probabilistic reasoning; automation; manufacturing and logistics manipulation; probabilistic reasoning; automation; manufacturing and logistics
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MDPI and ACS Style

Mannam, P.; Volkov, A., Jr.; Paolini, R.; Chirikjian, G.; Mason, M.T. Sensorless Pose Determination Using Randomized Action Sequences. Entropy 2019, 21, 154. https://doi.org/10.3390/e21020154

AMA Style

Mannam P, Volkov A Jr., Paolini R, Chirikjian G, Mason MT. Sensorless Pose Determination Using Randomized Action Sequences. Entropy. 2019; 21(2):154. https://doi.org/10.3390/e21020154

Chicago/Turabian Style

Mannam, Pragna, Alexander Volkov Jr., Robert Paolini, Gregory Chirikjian, and Matthew T. Mason. 2019. "Sensorless Pose Determination Using Randomized Action Sequences" Entropy 21, no. 2: 154. https://doi.org/10.3390/e21020154

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