An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap

Mostafa Wahby, Daniel Nicolas Hofstadler, Mary Katherine Heinrich, Payam Zahadat, Heiko Hamann

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Resumé

The self-organizing bio-hybrid collaboration of robots and natural plants allows for a variety of interesting applications. As an example we investigate how robots can be used to control the growth and motion of a natural plant, using LEDs to provide stimuli. We follow an evolutionary robotics approach where task performance is determined by monitoring the plant's reaction. First, we do initial plant experiments with simple, predetermined controllers. Then we use image sampling data as a model of the dynamics of the plant tip xy position. Second, we use this approach to evolve robot controllers in simulation. The task is to make the plant approach three predetermined, distinct points in an xy-plane. Finally, we test the evolved controllers in real plant experiments and find that we cross the reality gap successfully. We shortly describe how we have extended from plant tip to many points on the plant, for a model of the plant stem dynamics. Future work will extend to two-axes image sampling for a 3-d approach.
OriginalsprogEngelsk
TitelSelf-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on
ForlagIEEE
Publikationsdato8 dec. 2016
ISBN (Trykt)978-1-5090-3535-9
ISBN (Elektronisk)978-1-5090-3534-2
DOI
StatusUdgivet - 8 dec. 2016
BegivenhedSelf-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on - IEEE, Augsburg, Tyskland
Varighed: 12 sep. 201616 sep. 2016
http://ieeexplore.ieee.org/servlet/opac?punumber=1001843

Konference

KonferenceSelf-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on
LokationIEEE
LandTyskland
ByAugsburg
Periode12/09/201616/09/2016
Internetadresse

Kunstnerisk udviklingsvirksomhed (KUV)

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Citer dette

Wahby, M., Hofstadler, D. N., Heinrich, M. K., Zahadat, P., & Hamann, H. (2016). An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. I Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on IEEE. https://doi.org/10.1109/SASO.2016.8
Wahby, Mostafa ; Hofstadler, Daniel Nicolas ; Heinrich, Mary Katherine ; Zahadat, Payam ; Hamann, Heiko. / An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on. IEEE, 2016.
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title = "An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap",
abstract = "The self-organizing bio-hybrid collaboration of robots and natural plants allows for a variety of interesting applications. As an example we investigate how robots can be used to control the growth and motion of a natural plant, using LEDs to provide stimuli. We follow an evolutionary robotics approach where task performance is determined by monitoring the plant's reaction. First, we do initial plant experiments with simple, predetermined controllers. Then we use image sampling data as a model of the dynamics of the plant tip xy position. Second, we use this approach to evolve robot controllers in simulation. The task is to make the plant approach three predetermined, distinct points in an xy-plane. Finally, we test the evolved controllers in real plant experiments and find that we cross the reality gap successfully. We shortly describe how we have extended from plant tip to many points on the plant, for a model of the plant stem dynamics. Future work will extend to two-axes image sampling for a 3-d approach.",
keywords = "plant modeling, Bio-hybrid, evolutionary robotics, reality gap, self-organization",
author = "Mostafa Wahby and Hofstadler, {Daniel Nicolas} and Heinrich, {Mary Katherine} and Payam Zahadat and Heiko Hamann",
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Wahby, M, Hofstadler, DN, Heinrich, MK, Zahadat, P & Hamann, H 2016, An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. i Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on. IEEE, Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on, Augsburg, Tyskland, 12/09/2016. https://doi.org/10.1109/SASO.2016.8

An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. / Wahby, Mostafa; Hofstadler, Daniel Nicolas; Heinrich, Mary Katherine; Zahadat, Payam; Hamann, Heiko.

Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on. IEEE, 2016.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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T1 - An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap

AU - Wahby, Mostafa

AU - Hofstadler, Daniel Nicolas

AU - Heinrich, Mary Katherine

AU - Zahadat, Payam

AU - Hamann, Heiko

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Y1 - 2016/12/8

N2 - The self-organizing bio-hybrid collaboration of robots and natural plants allows for a variety of interesting applications. As an example we investigate how robots can be used to control the growth and motion of a natural plant, using LEDs to provide stimuli. We follow an evolutionary robotics approach where task performance is determined by monitoring the plant's reaction. First, we do initial plant experiments with simple, predetermined controllers. Then we use image sampling data as a model of the dynamics of the plant tip xy position. Second, we use this approach to evolve robot controllers in simulation. The task is to make the plant approach three predetermined, distinct points in an xy-plane. Finally, we test the evolved controllers in real plant experiments and find that we cross the reality gap successfully. We shortly describe how we have extended from plant tip to many points on the plant, for a model of the plant stem dynamics. Future work will extend to two-axes image sampling for a 3-d approach.

AB - The self-organizing bio-hybrid collaboration of robots and natural plants allows for a variety of interesting applications. As an example we investigate how robots can be used to control the growth and motion of a natural plant, using LEDs to provide stimuli. We follow an evolutionary robotics approach where task performance is determined by monitoring the plant's reaction. First, we do initial plant experiments with simple, predetermined controllers. Then we use image sampling data as a model of the dynamics of the plant tip xy position. Second, we use this approach to evolve robot controllers in simulation. The task is to make the plant approach three predetermined, distinct points in an xy-plane. Finally, we test the evolved controllers in real plant experiments and find that we cross the reality gap successfully. We shortly describe how we have extended from plant tip to many points on the plant, for a model of the plant stem dynamics. Future work will extend to two-axes image sampling for a 3-d approach.

KW - plant modeling

KW - Bio-hybrid

KW - evolutionary robotics

KW - reality gap

KW - self-organization

UR - https://www.researchgate.net/publication/311419851_An_Evolutionary_Robotics_Approach_to_the_Control_of_Plant_Growth_and_Motion_Modeling_Plants_and_Crossing_the_Reality_Gap

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M3 - Article in proceedings

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BT - Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on

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Wahby M, Hofstadler DN, Heinrich MK, Zahadat P, Hamann H. An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. I Self-Adaptive and Self-Organizing Systems (SASO), 2016 IEEE 10th International Conference on. IEEE. 2016 https://doi.org/10.1109/SASO.2016.8