---
_id: '19961'
abstract:
- lang: eng
  text: The self-organizing bio-hybrid collaboration ofrobots and natural plants allows
    for a variety of interestingapplications. As an example we investigate how robots
    can beused to control the growth and motion of a natural plant, using LEDs to
    provide stimuli. We follow an evolutionaryrobotics approach where task performance
    is determined bymonitoring the plant's reaction. First, we do initial plantexperiments
    with simple, predetermined controllers. Then weuse image sampling data as a model
    of the dynamics ofthe plant tip xy position. Second, we use this approach toevolve
    robot controllers in simulation. The task is to makethe plant approach three predetermined,
    distinct points in anxy-plane. Finally, we test the evolved controllers in real
    plantexperiments and find that we cross the reality gap successfully. We shortly
    describe how we have extended from plant tipto many points on the plant, for a
    model of the plant stemdynamics. Future work will extend to two-axes image samplingfor
    a 3-d approach.
author:
- first_name: Mostafa
  full_name: Wahby, Mostafa
  last_name: Wahby
- first_name: Daniel Nicolas
  full_name: Hofstadler, Daniel Nicolas
  last_name: Hofstadler
- first_name: Mary Katherine
  full_name: Heinrich, Mary Katherine
  last_name: Heinrich
- first_name: Payam
  full_name: Zahadat, Payam
  last_name: Zahadat
- first_name: Heiko
  full_name: Hamann, Heiko
  last_name: Hamann
citation:
  ama: '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. In: <i>Proc. of the 10th International Conference on
    Self-Adaptive and Self-Organizing Systems</i>. ; 2016. doi:<a href="https://doi.org/10.1109/saso.2016.8">10.1109/saso.2016.8</a>'
  apa: 'Wahby, M., Hofstadler, D. N., Heinrich, M. K., Zahadat, P., &#38; Hamann,
    H. (2016). An Evolutionary Robotics Approach to the Control of Plant Growth and
    Motion: Modeling Plants and Crossing the Reality Gap. In <i>Proc. of the 10th
    International Conference on Self-Adaptive and Self-Organizing Systems</i>. <a
    href="https://doi.org/10.1109/saso.2016.8">https://doi.org/10.1109/saso.2016.8</a>'
  bibtex: '@inproceedings{Wahby_Hofstadler_Heinrich_Zahadat_Hamann_2016, title={An
    Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling
    Plants and Crossing the Reality Gap}, DOI={<a href="https://doi.org/10.1109/saso.2016.8">10.1109/saso.2016.8</a>},
    booktitle={Proc. of the 10th International Conference on Self-Adaptive and Self-Organizing
    Systems}, author={Wahby, Mostafa and Hofstadler, Daniel Nicolas and Heinrich,
    Mary Katherine and Zahadat, Payam and Hamann, Heiko}, year={2016} }'
  chicago: 'Wahby, Mostafa, Daniel Nicolas Hofstadler, Mary Katherine Heinrich, Payam
    Zahadat, and Heiko Hamann. “An Evolutionary Robotics Approach to the Control of
    Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap.” In <i>Proc.
    of the 10th International Conference on Self-Adaptive and Self-Organizing Systems</i>,
    2016. <a href="https://doi.org/10.1109/saso.2016.8">https://doi.org/10.1109/saso.2016.8</a>.'
  ieee: 'M. Wahby, D. N. Hofstadler, M. K. Heinrich, P. Zahadat, and H. Hamann, “An
    Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling
    Plants and Crossing the Reality Gap,” in <i>Proc. of the 10th International Conference
    on Self-Adaptive and Self-Organizing Systems</i>, 2016.'
  mla: 'Wahby, Mostafa, et al. “An Evolutionary Robotics Approach to the Control of
    Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap.” <i>Proc.
    of the 10th International Conference on Self-Adaptive and Self-Organizing Systems</i>,
    2016, doi:<a href="https://doi.org/10.1109/saso.2016.8">10.1109/saso.2016.8</a>.'
  short: 'M. Wahby, D.N. Hofstadler, M.K. Heinrich, P. Zahadat, H. Hamann, in: Proc.
    of the 10th International Conference on Self-Adaptive and Self-Organizing Systems,
    2016.'
date_created: 2020-10-08T12:57:13Z
date_updated: 2022-01-06T06:54:17Z
department:
- _id: '63'
- _id: '238'
doi: 10.1109/saso.2016.8
language:
- iso: eng
publication: Proc. of the 10th International Conference on Self-Adaptive and Self-Organizing
  Systems
publication_identifier:
  isbn:
  - '9781509035342'
publication_status: published
status: public
title: 'An Evolutionary Robotics Approach to the Control of Plant Growth and Motion:
  Modeling Plants and Crossing the Reality Gap'
type: conference
user_id: '15415'
year: '2016'
...