Indoor robot gardening: design and implementation

Correll, Nikolaus; Aréchiga, Nikos; Bolger, Adrienne; Bollini, Mario A.; Charrow, Ben; Clayton, Adam; Dominguez, Felipe; Donahue, Kenneth; Dyar, Samuel; Johnson, Luke B.; Liu, Huan; Patrikalakis, Alexander; Robertson, Timothy; Smith, Jeremy S.; Soltero, Daniel E.; Tanner, Melissa M.; White, Lauren; Rus, Daniela

doi:10.1007/s11370-010-0076-1

Cited by 20 publications

(21 citation statements)

References 22 publications

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“…1 for a schematic overview) and brings together scientists from plant science, architecture, zoology, robotics, and computer science. The general idea of using robots to treat plants is obviously not novel and often has the objective of automating gardening tasks [Correll et al, 2010] or on bigger scales automating agriculture [Slaughter et al, 2008]. However, our objectives go beyond the idea of mere automation.…”

Section: Introductionmentioning

confidence: 99%

Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids

Hamann

Wahby

Schmickl

et al. 2015

2015 IEEE Symposium Series on Computational Intelligence

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Besides the life-as-it-could-be driver of artificial life research there is also the concept of extending natural life by creating hybrids or mixed societies that are built from both natural and artificial components. In this paper, we motivate and present the research program of the project flora robotica. We present our concepts of control, hardware design, modeling, and human interaction along with preliminary experiments. Our objective is to develop and to investigate closely linked symbiotic relationships between robots and natural plants and to explore the potentials of a plant-robot society able to produce architectural artifacts and living spaces. These robot-plant bio-hybrids create synergies that allow for new functions of plants and robots. They also create novel design opportunities for an architecture that fuses the design and construction phase. The bio-hybrid is an example of mixed societies between 'hard artificial and 'wet natural life, which enables an interaction between natural and artificial ecologies. They form an embodied, selforganizing, and distributed cognitive system which is supposed to grow and develop over long periods of time resulting in the creation of meaningful architectural structures. A key idea is to assign equal roles to robots and plants in order to create a highly integrated, symbiotic system. Besides the gain of knowledge, this project has the objective to create a bio-hybrid system with a defined function and application -growing architectural artifacts.

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Section: Introductionmentioning

confidence: 99%

Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids

Hamann

Wahby

Schmickl

et al. 2015

2015 IEEE Symposium Series on Computational Intelligence

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“…Robotics applications has also been implemented for the task of automatic gardening [21,1,22]. In [21] a set of mobile robots are equipped with eye-in-hand cameras and mobile arms to water and harvest tomato plants according to their individual needs.…”

Section: Related Workmentioning

confidence: 99%

“…In [21] a set of mobile robots are equipped with eye-in-hand cameras and mobile arms to water and harvest tomato plants according to their individual needs. To recognize position and maturity level of tomatoes (green or red), the system selects a robot that moves to the plant to take images from six (fixed) different perspectives.…”

Section: Related Workmentioning

confidence: 99%

“…Watering and seeding take place at predefined positions in the soil and are triggered by manually activated buttons. As in [21], humidity sensors are placed in the soil to reactively water plants using a thresholded approach. In their architecture, none of the automatic processes uses artificial intelligence techniques for planning or learning.…”

Section: Related Workmentioning

confidence: 99%

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A cognitive architecture for automatic gardening

Agostini

Aleny

Fischbach

et al. 2017

Computers and Electronics in Agriculture

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Keywords: cognitive architecture, optimized plant treatments, automatic gardening, human-robot interaction, learning planning operators. AbstractIn large industrial greenhouses, plants are usually treated following well established protocols for watering, nutrients, and shading/light. While this is practical for the automation of the process, it does not tap the full potential for optimal plant treatment. To more efficiently grow plants, specific treatments according to the plant individual needs should be applied. Experienced human gardeners are very good at treating plants individually. Unfortunately, hiring a crew of gardeners to carry out this task in large greenhouses is not cost effective. In this work we present a cognitive system that integrates artificial intelligence (AI) techniques for decision-making with robotics techniques for sensing and acting to autonomously treat plants using a real-robot platform. Artificial intelligence techniques are used to decide the amount of water and nutrients each plant needs according to the history of the plant. Robotic techniques for sensing measure plant attributes (e.g. leaves) from visual information using 3D model representations. These attributes are used by the AI system to make decisions about the treatment to apply. Acting techniques execute robot movements to supply the plants with the specified amount of water and nutrients.

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“…The robot used image processing techniques for identifying the illness of plants [9]. Then there have used color images techniques for capturing plant in a green house [10] [9].…”

Section: Introductionmentioning

confidence: 99%