Abstract:Plant growth is a self-organized process incorporating distributed sensing, internal communication and morphology dynamics. We develop a distributed mechatronic system that autonomously interacts with natural climbing plants, steering their behaviours to grow user-defined shapes and patterns. Investigating this bio-hybrid system paves the way towards the development of living adaptive structures and grown building components. In this new application domain, challenges include sensing, actuation and the combina… Show more
“…For such complex growth patterns independent of scaffold shape, the different groups of plants can potentially be grown in different time periods such that their respective attraction stimuli do not interfere, which would also allow the integration of branching events. However, this may not always be a suitable solution, and the standard attractive light stimulus could then be augmented by repelling influences such as shading, or by other stimuli like far-red light or vibration motors 9,14 .…”
Robot systems are actively researched for manipulation of natural plants, typically restricted to agricultural automation activities such as harvest, irrigation, and mechanical weed control. Extending this research, we introduce here a novel methodology to manipulate the directional growth of plants via their natural mechanisms for signaling and hormone distribution. An effective methodology of robotic stimuli provision can open up possibilities for new experimentation with later developmental phases in plants, or for new biotechnology applications such as shaping plants for green walls. Interaction with plants presents several robotic challenges, including short-range sensing of small and variable plant organs, and the controlled actuation of plant responses that are impacted by the environment in addition to the provided stimuli. In order to steer plant growth, we develop a group of immobile robots with sensors to detect the proximity of growing tips, and with diodes to provide light stimuli that actuate phototropism. The robots are tested with the climbing common bean, Phaseolus vulgaris, in experiments having durations up to five weeks in a controlled environment. With robots sequentially emitting blue light-peak emission at wavelength 465 nm-plant growth is successfully steered through successive binary decisions along mechanical supports to reach target positions. Growth patterns are tested in a setup up to 180 cm in height, with plant stems grown up to roughly 250 cm in cumulative length over a period of approximately seven weeks. The robots coordinate themselves and operate fully autonomously. They detect approaching plant tips by infrared proximity sensors and communicate via radio to switch between blue light stimuli and dormant status, as required. Overall, the obtained results support the effectiveness of combining robot and plant experiment methodologies, for the study of potentially complex interactions between natural and engineered autonomous systems.
“…For such complex growth patterns independent of scaffold shape, the different groups of plants can potentially be grown in different time periods such that their respective attraction stimuli do not interfere, which would also allow the integration of branching events. However, this may not always be a suitable solution, and the standard attractive light stimulus could then be augmented by repelling influences such as shading, or by other stimuli like far-red light or vibration motors 9,14 .…”
Robot systems are actively researched for manipulation of natural plants, typically restricted to agricultural automation activities such as harvest, irrigation, and mechanical weed control. Extending this research, we introduce here a novel methodology to manipulate the directional growth of plants via their natural mechanisms for signaling and hormone distribution. An effective methodology of robotic stimuli provision can open up possibilities for new experimentation with later developmental phases in plants, or for new biotechnology applications such as shaping plants for green walls. Interaction with plants presents several robotic challenges, including short-range sensing of small and variable plant organs, and the controlled actuation of plant responses that are impacted by the environment in addition to the provided stimuli. In order to steer plant growth, we develop a group of immobile robots with sensors to detect the proximity of growing tips, and with diodes to provide light stimuli that actuate phototropism. The robots are tested with the climbing common bean, Phaseolus vulgaris, in experiments having durations up to five weeks in a controlled environment. With robots sequentially emitting blue light-peak emission at wavelength 465 nm-plant growth is successfully steered through successive binary decisions along mechanical supports to reach target positions. Growth patterns are tested in a setup up to 180 cm in height, with plant stems grown up to roughly 250 cm in cumulative length over a period of approximately seven weeks. The robots coordinate themselves and operate fully autonomously. They detect approaching plant tips by infrared proximity sensors and communicate via radio to switch between blue light stimuli and dormant status, as required. Overall, the obtained results support the effectiveness of combining robot and plant experiment methodologies, for the study of potentially complex interactions between natural and engineered autonomous systems.
“…Figure 2.Two approaches to interaction between robots and natural organisms. ( a ) A robot interacts with plants by providing directional light stimuli, as seen in [134,135]. Image by authors.…”
Section: Hybridizing Robots and Biologymentioning
confidence: 99%
“…The models were used to control light stimuli and steer the plants to predetermined targets, adaptive targets, and around obstacles—in simulation and on real plants. This approach is extended to robots with distributed control, providing stimuli to guide the decisions of climbing plants, between several growth path options [134,135], see figure 2 a . Similar methods applied on a much larger scale could drive more complex construction processes with plants.…”
Section: Hybridizing Robots and Biologymentioning
confidence: 99%
“…In this set-up, the plant has no mechanical scaffold, but the height to which it can support itself is not tall enough for building-sized growth. Steering with such stimuli is extended to distributed robotic control and larger sized growth [134,135]. In this set-up, the plants grow along a mechanical scaffold wall and the shape of their growth pattern is guided by stimuli.…”
Section: Hybridizing Buildings and Biologymentioning
confidence: 99%
“…The ability to quickly adapt to new situations, for instance, if a plant branches out, without losing the user-defined goals out of sight, for instance to grow in height, requires the robots’ controllers to handle a great variety of situations. Even in cases where the possible growth directions are intentionally restricted, as seen in figure 9, it has been shown that the task of robotically managing several plants simultaneously is quite complex [134,135]. The variety of goals, the expected flexibility, the complexity of the interactions in biohybrid systems, and in addition, the uncertainties and insufficient precision in perceiving and manipulating real-world environments would require the robots to learn [272].…”
Section: Robots For Biohybrid Constructionmentioning
Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviours for application to automated tasks. Here, we identify the construction of living buildings and infrastructure as a high-potential application domain for biohybrid robotics, and review technological advances relevant to its future development. Construction, civil infrastructure maintenance and building occupancy in the last decades have comprised a major portion of economic production, energy consumption and carbon emissions. Integrating biological organisms into automated construction tasks and permanent building components therefore has high potential for impact. Live materials can provide several advantages over standard synthetic construction materials, including self-repair of damage, increase rather than degradation of structural performance over time, resilience to corrosive environments, support of biodiversity, and mitigation of urban heat islands. Here, we review relevant technologies, which are currently disparate. They span robotics, self-organizing systems, artificial life, construction automation, structural engineering, architecture, bioengineering, biomaterials, and molecular and cellular biology. In these disciplines, developments relevant to biohybrid construction and living buildings are in the early stages, and typically are not exchanged between disciplines. We, therefore, consider this review useful to the future development of biohybrid engineering for this highly interdisciplinary application.
Biomimetic and biohybrid micro/nano‐structures involve the replication and creation of technologies, structures, and materials based on biological systems at the micrometer and nanometer scale. These strategies harness the natural biological principles to develop innovative treatment methods and advanced microstructure devices for noninvasive therapies. In this study, a detailed overview of fabrication processes, magnetically assisted locomotive techniques, and potential applications of biomimetic and biohybrid micro/nano‐machines are presented. The latest advancements in magnetically actuated biomimetic structures, such as annelid‐worm‐like microswimmers, jellyfish‐shaped microparticles, fish‐shaped microswimmers, and walnut‐shaped micromotors are explored. Additionally, the magnetic biohybrid systems, including sunflower seed‐based micro‐perforators, nanomotors extracted from the bamboo stem, sperm cell‐based micromotors, bacteria‐based robots, scaffold‐based microrobots, DNA‐based micromotors, microalgae‐based microswimmers, and red blood cell‐based microswimmers are also examined. A thorough investigation of the magnetically assisted locomotive behavior of these microstructure devices in biological Newtonian fluids, featuring cork‐screw motion, undulatory motion, surface wrinkling motion, traveling wave‐like motion, and ciliary stroke motion is discussed. Furthermore, unprecedented and innovative treatment methods developed using these minuscule devices such as cervical cancer treatment using tetrapod hybrid sperm micromotors, tissue regeneration using silk fibroin protein‐based magnetic microscale scaffolds, and doxorubicin drug delivery using mushroom‐based microrobots is extensively presented.
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