ARTICLE
Received 31 Jan 2017 | Accepted 7 Apr 2017 | Published 23 May 2017
The sophistication, complexity and intelligence of biological systems is a continuous source of inspiration for mankind. Mimicking the natural intelligence to devise tiny systems that are capable of self-regulated, autonomous action to, for example, distinguish different targets, remains among the grand challenges in biomimetic micro-robotics. Herein, we demonstrate an autonomous soft device, a light-driven ytrap, that uses optical feedback to trigger photomechanical actuation. The design is based on light-responsive liquid-crystal elastomer, fabricated onto the tip of an optical bre, which acts as a power source and serves as a contactless probe that senses the environment. Mimicking natural ytraps, this articial ytrap is capable of autonomous closure and object recognition. It enables self-regulated actuation within the bre-sized architecture, thus opening up avenues towards soft, autonomous small-scale devices.
DOI: 10.1038/ncomms15546 OPEN
A light-driven articial ytrap
Owies M. Wani1, Hao Zeng1 & Arri Priimagi1
1 Laboratory of Chemistry and Bioengineering, Tampere University of Technology, PO Box 541, FI-33101 Tampere, Finland. Correspondence and requests for materials should be addressed to H.Z. (email: mailto:[email protected]
Web End =hao.zeng@tut. ) or to A.P. (email: mailto:[email protected]
Web End =arri.priimagi@tut. ).
NATURE COMMUNICATIONS | 8:15546 | DOI: 10.1038/ncomms15546 | http://www.nature.com/naturecommunications
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ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms15546
Ranging from multiscale and functional self-assemblies to morphology control, complex locomotion strategies and autonomous feedback dynamics, nature has provided us
with numerous fascinating examples for biomimetic research15. Recently, great efforts have been made in mimicking organic species to devise micro-robotic systems with novel functionalities and accessibility to increasingly challenging spaces610. However, mimicking the intelligence of natural species in articial systems, that is, realization of devices that act autonomously and are capable of adapting to unexpected environmental changes, is a long-standing challenge. To date, the mainstream research on articial intelligence is based on programming, hence relying on computer-controlled electronic actuation11. However, incorporation of complex computing circuitry, power sources and electrically driven actuators into miniaturized robotic systems is challenging, and other approaches are needed to devise smart robotic actuators.
Soft-matter-based micro-robotics is a nascent eld in biomimetic research, with signicant progress in the past few years12,13. Unlike conventional hard machines with rigid arms, soft robots provide natural safety and human-friendly contact. The exible and miniaturized body also offers additional freedom for complex motion and adaptation to environmental connement14,15. Several powering strategies have been developed for soft robotics, such as pneumatic networks12, light illumination13,15 and chemical reactions16. Automation is a particular challenge in soft devices, since the ways of powering and control need to be completely re-thought. A limited number of attempts have been made to create self-oscillating devices1619 autonomous systems that could extract energy from a constant source and transfer it to cyclic mechanical work. Most of them employ stimuli-responsive materials such as light-responsive polymers17,18 or chemically responsive hydrogels19, in which a non-equilibrium oscillation occurs once a positive feedback
mechanism20 is established between deformed geometry and external stimulus eld.
Here, we demonstrate an intelligent gripping device, a light-driven articial ytrap. The name stems from the fact that the device is capable of mimicking the motions of natural ytrap (Dionaea muscipula)21,22, by performing autonomous closure action (gripping) and self-recognition between different micro-objects by sensing their physical properties.
ResultsSystem concept. Venus Flytrap21 (Fig. 1a,b) has fascinated scientists due to its unique features such as automatic closure of leaf upon mechanical stimulation, sub-second-scale fast actuation, and ability to distinguish insects and other prey from random particles like dust. Inspired by the ytrap, we propose a strategy to realize an articial, fully light-fueled micro-device. We use a thin layer of light-responsive liquid-crystal elastomer (LCE) as an actuating material. LCEs are smart materials that can undergo huge shape changes in response to various external stimuli such as light, heat, or electric eld2326. Among the different stimuli, light is in many ways particularly attractive. It provides a clean, contactless energy source, and its properties (wavelength, intensity, polarization) can be optimized for a specic target with high spatial and temporal resolution. Therefore, several light-powered, LCE-based robotic2730 as well as tunable photonic3133 systems have been proposed. In essence, the light-induced actuation is based on controlling the molecular alignment within the liquid-crystal polymer network34. By choosing a splayed molecular alignment across the actuator thickness, light-induced alignment changes give rise to different strains within one monolithic layer: an expansion on one surface and contraction on the other. As a consequence, pronounced light-induced bending deformation occurs35 (insets in Fig. 1c,d).
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Figure 1 | Flytrap-inspired light-powered soft robot. (a) A Venus ytrap at its open stage, (b) closes upon mechanical stimulation. Reprinted with permission from ref. 21. (c) Schematic drawing of the light-triggered articial ytrap at its open stage, when no object has entered its eld of view. No light is back-reected to the LCE actuator, which remains in the open stage. (d) The ytrap closes when an object enters its eld of view and causes optical feedback to the LCE actuator. Light-induced bending of the LCE leads to closure action, thus capturing the object. The insets of c and d show the schematic molecular orientation in LCE actuator at the open and closed stages.
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Figure 2 | Realization of the autonomous gripper. Schematic pictures of the fabrication process: (a) Arrays of UV curable resin are put on a glass substrate coated with rubbed PVA (the arrow indicates the rubbing direction). (b) A 20 mm LC cell is prepared by placing another glass slide coated with homeotropic alignment layer on the top, and subsequent curing with UV light to solidify the resin. (c) Liquid crystal monomers are inltrated into the cell, and then UV-polymerized at 30 C. (d) The cell is opened, and strips of LCE actuator are cut out from the substrate along the rubbing direction.
(e) Chemical composition of the LC monomer mixture. (f) Optical images of the fabricated gripper after connecting to the bre tip. (g) Gripper automatically closes while approaching to the mirror surface with a constant power of 55 mW. (h) At a constant distance d 7 mm, gripper can be
switched between closed and open stages by manually tuning the light power (0, 20, 40, 50 mW). All scale bars correspond to 5 mm.
To make this bending deformation to sense the environment, we integrated the LCE actuator with an optical bre. More specically, we fabricated the splay-aligned LCE actuator onto the tip of the bre, leaving a transparent window in the center, through which light is emitted. The emission cone determines the eld of view of the device, which continuously probes the space in front (Fig. 1c). When an object enters into the eld of view and produces enough optical feedback (reected/scattered light), the LCE bends towards the object (closure action), eventually capturing it (Fig. 1d). The optical feedback is determined by the reectance/scattering intensity of the object, and therefore, the articial ytrap may exhibit distinct actuation behavior when meeting different targets. Compared with other ytrap-like devices reported to date36,37, this is the rst miniature device that mimics the intelligent features of the Venus ytrap, while the mechanical motion is triggered by light-induced bending of the LCE actuator, not elastic instability21 as in the case of the Venus ytrap.
System realization. A glass slide coated with polyvinyl alcohol (PVA) was rstly rubbed unidirectionally. Arrays of droplets of UV-curable resin (few nl each) were put onto the surface, separated by B1 cm distance (Fig. 2a). Another glass slide coated
with homeotropic alignment layer was placed on top of the one containing the droplets, maintaining 20 mm separation between the two slides by using spacer beads. Subsequently, a UV lamp was used to cure the resin and form an LC cell (Fig. 2b). Liquid-crystal monomer mixture was then inltrated at 70 C and polymerized after cooling to the nematic phase at 30 C. The mixture contained commercially available acrylate-functionalized LC monomers and cross-linkers (Fig. 2e). As a light-responsive unit, we used Dispersed Red 1, added as a dopant into the LCE network, similar to previous reports38,39. This system allows for more than 80% light absorption at the excitation wavelength (488 nm) within the 20 mm thick splay-aligned layer. A UV lamp was used to cure the mixture, forming a well-aligned LCE lm with an array of transparent windows (Fig. 2c). The order parameter of the LCE lm, as deduced from polarized absorption measurements, was ca. 0.6 (see Supplementary Note 1 and Supplementary Fig. 5 for further details). The cell was opened and strips with transparent windows at their central positions were cut along the rubbing direction (Fig. 2d). Finally, the optical ytrap was formed by xing the tip of a multi-mode optical bre to the center of the LCE strip by using another droplet of cured resin (attached to the homeotropically-aligned surface). Light from a 488 nm laser was coupled to the other end of the
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Figure 3 | Recognition between targets by using feedback-type optical actuation. (a) Schematic drawing of the geometry of the ytrap gripper.(b) Change in gripping angle |da| as a function of distance d at different output powers P (points and lines are experimental and calculated data, respectively). Inset: photograph of the closed gripper with a maximum value in |da|. Error bars indicate the imaging system accuracy (4) in every single measurement. (c) Measured bending ratio da/damax as a function of input power P for targets with high (R 90%) and low (R 3%) reectivity. Insets:
photographs of the gripper at its closed and open stages when meeting high-reectivity and low-reectivity targets, respectively (power 67 mW in both cases). (d) Measured bending ratio da/damax as a function of input power P for a glass micro-sphere (R 90%), a highly absorbing (Ro1%) and highly
scattering PDMS targets. Insets: photographs of the closed gripper meeting different targets with different threshold powers: 44 mW for the micro-sphere, 73 mW for the scattering and 69 mW for the absorbing target. The error bars in c and d indicate the imaging system accuracy (4) plus the s.d. for n 3
measurements. All scale bars correspond to 5 mm. An optical lter is used to block wavelengths below 500 nm for all the photographs.
bre, and emitted through the center of the device, as shown in Fig. 2f. The transparent window prevents direct light absorption, while all the absorbed light responsible for LCE actuation comes from the reection/scattering from any encountered object in the probing area. For instance, in front of a highly reective at mirror the open gripper (at far distance) performs a gradual closure action when approaching the surface (Fig. 2g). At a xed distance, the gripping can be manually controlled by changing the output power from the bre (Fig. 2h, also see Supplementary Movie 1).
Autonomous action and self-recognition based on optical feedback. To analyse the performance of the optical ytrap, we measured the gripping angles a (Fig. 3a) as a function of distance d from a mirror at different laser powers P. The results are shown in Fig. 3b. Light emits from the bre tip at a divergence angle b [b 13; NA n sinb, where NA is the numerical aperture
of the bre (0.22) and n is the refractive index of air], which corresponds to a solid angle O0 [O0 2p(1 cosb) 0.216].
Upon reection from the mirror, the light propagation preserves the same divergence angle, thus the whole illumination space can be considered as a light cone with its apex at the mirror-symmetric position of the bre tip (Fig. 3a). By approaching the mirror, the distance between the gripper and the light source (2d) decreases, that is, the gripper moves towards a region with higher light intensity. Therefore, more light is absorbed by the actuator, leading to smaller a (closing action). For low laser powers (Po40 mW) and at short distances (do5 mm), the light cone is
too conned to expose the whole actuator, and larger portion of light energy is absorbed in the central area of the LCE where the cured resin prevents actuation of the LCE strip. Thus, the bending deformation saturates and reaches a maximum value at dE4 mm.
For higher powers, the gripper reaches the closure stage at a certain distance dc, depending on the power used (that is, dc 5 mm for P 40 mW; dc 12 mm for P 140 mW, see in
Fig. 3b).The total reected power equals to P R, where R is the
reectivity of the surface. Thus, the energy distribution of the reected light takes the form D(y, j), indicating the percentage of reected light in dO sinydydj solid angle in spherical
coordinates or, y, j4. D(y, j) strongly depends on the properties of the reective surface. For a at mirror, all energy is concentrated within a light cone with solid angle O O0 (or D 0
for |y|4b). For a concave surface OoO0, for a convex surface O4O0, and for a scattering surface O44O0. The deformed gripper can be approximated as an arc with a central angle of g (see the inset of Fig. 3a). Thus the change of central angle dg of the gripper can be described as
dg k E k A P R ZZ S Dy; j
~rd~Sr3 1
where k is the light-induced bending coefcient, A is absorption efciency, E is the total absorbed energy per unit time in the actuated area S. The calculated results are shown as lines in Fig. 3b, revealing good consistency between the modelling and the
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Figure 4 | Flytrap-type capture motion and applications. (a) Measured force from one LCE actuating arm as a function of illuminated laser intensity. Inset: schematic drawing of the experimental set up. Error bars indicate force sensor accuracy (10 mN) plus the s.d. for n 3 measurements. (b) Response time
of gripping motion for scattering and absorbing targets by using different laser powers. The error bars indicate the imaging system accuracy (4) in single measurement. (c) The optical ytrap mimics the motion of a natural ytrap by capturing a small scattering object falling on the gripper (P 200 mW).
(d) Demonstration of self-detection in a moving production line: no response to a transparent cubic (low reectivity) or an absorbing cubic (long response time), automatic closure when meeting a highly scattering cubic, creating sufcient optical feedback. P 150 mW. Inset: zoom-in side-view optical image of
gripping of the scattering cubic. All scale bars are 5 mm. An optical lter is used to block wavelengths below 500 nm for all the photographs.
experimental results. Further details on the modelling can be
found in the Supplementary Note 2 and Supplementary Fig. 6.
Equation (1) reveals two working modes for the gripper. Firstly, by changing the light power P, the gripper can be manually, yet remotely, controlled. Secondly, for a constant power, the bending angle varies depending on light reection. The second working mode is useful for developing a smart robotic system, since the power source is free of human control and the device can operate autonomously through adaptation to environmental changes. Hence, we implemented the second mode to demonstrate feedback-type actuation and autonomous action of the device. Figure 3c plots the change of gripping angle da (normalized as da/damax) as a function of power P for two cubic samples with high and low reectivity (see Methods for sample fabrication details), demonstrating the distinct actuation behavior in response to different targets. Keeping the same power P 67 mW, the gripper closes when observing the highly
reective micro-cubic, while remaining open when a cubic with low reectivity is in its eld of view (insets of Fig. 3c). The same mechanism holds for other targets with arbitrary reection/ scattering patterns, resulting in differentiated power thresholds and actuation dynamics for achieving the same closure action. The actuation threshold and dynamics depend on R as well as on physical properties of the object, affecting the specic form of Dy; j. As shown in the insets of Fig. 3d, the gripper closes at
44 mW for a silver-coated micro-bead (d 2 mm; R 90%),
and at around 70 mW for a highly scattering cubic and a black, absorbing one (Ro1%), yet with signicantly different actuation dynamics. The plots of da/damax demonstrate a novel
functionality of LCE actuators: at a specic power the device recognizes its favorite prey and acts autonomously to trap it.
Optical ytrap. Powered by light, this tiny bre-tip device can grip on any micro-object with arbitrary shape, from cubic to sphere (Fig. 3c,d), from a scattering particle to a piece of foil (Supplementary Movie 2). The gripping force originates from mechanical bending of the soft LCE actuator, which is proportional to the excitation light intensity (Fig. 4a). The bending force is in the hundreds of mN range and can create sufcient adhesion during the gripping process (statistic friction in the normal direction) that sustains the object weight of tens of mg, which is hundreds of times larger than the mass of the actuator itself. The ytrap gripper can serve as an automatic tool to test different objects, target the desired one, and release it rapidly once the light is turned off. The grip-and-release action is demonstrated in Supplementary Movie 3 for a highly scattering micro-cube with a mass of 10 mg. The response time of the optical ytrap depends on the light power, as shown in Fig. 4b and in Supplementary Fig. 1. By increasing the power to about 300 mW, the device closes within 200 ms. As a comparison, natural ytrap snaps in 100 ms, after about 0.7 s delay between the trigger and the snap21. Figure 4b also reveals the slow actuation of the black target, which is dominated by heat transfer. Hence, the scattering and absorbing targets are distinguished by the device through different dynamics, even if the actuation threshold (Fig. 3d) is similar for both. The optical ytrap can capture articial insects (particles) that enter its eld of view. Figure 4c and
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Supplementary Movie 4 demonstrate this behavior, showing the optical ytrap capturing a piece of rice falling on the device. The device may also potentially be used in manufacturing units that require automatic detection of product defects. We demonstrate this potential in Fig. 4d, where a set of cubic particles are sitting on a production line (a translation stage) moving below the optical ytrap. Once a product that provides sufcient optical feedback (as demonstrated by using a strongly scattering cubic particle) reaches the ytrap, it is automatically selected (Supplementary Movie 5).
DiscussionThere are two features in the actuation process that we would like to particularly point out. The rst one is closure when meeting a strongly absorbing, unreective target (Fig. 3d). For a black cubic which reects less than 1% of light, the optical ytrap closes with a threshold much lower than for a non-absorbing one with 3% reectance. This can be attributed to photothermal heating of the absorbing object, and subsequent heat transfer to the actuator through the air layer, leading to gripping action. This has been conrmed by imaging the thermal distribution of the system with an infrared camera, as shown in the thermal image in Supplementary Fig. 2. Compared with the conventional actuation scheme where the ytrap absorbs the energy directly from the reected light, the heat-transfer-based actuation takes place at a much longer time scale (Supplementary Movie 6, Fig. 4b). The second phenomenon to point out is the scaling effect in the power threshold. We have recorded the bending for grippers with different sizes (length 4, 6, 8, 10 mm; width 1 mm). As shown in Supplementary Figs 3,4, the thresholds for different objects scale differently with actuator length. For the black target the threshold is signicantly reduced for grippers with smaller sizes, due to enhanced heat transfer efciency at a reduced distance. The size-dependent character of the gripper may provide an additional degree of freedom to design and optimize the performance of the autonomous actuator. We note also that it is relatively straightforward to scale up the size of the device at least to several centimeters simply by using larger liquid-crystal cells. Masked exposure40 and direct laser writing41, in turn, should allow for fabricating miniature, microscopic-scale gripping devices. The working distance of the device can be controlled by changing the numerical aperture of the optical bre used.
The performance of the optical ytrap is reversible, i.e., it can perform grip-and-release cycles repeatedly without decrease in efciency. However, upon high-power illumination (for example, in Fig. 4c) needed for fast actuation, photothermal heating can soften the material, thereby enhancing adhesion between the actuator and the target. After the illumination is ceased and the temperature decreases, adhesion poses a barrier for material relaxation, leading to irreversibility in the actuation process. However, no permanent damage is caused to the material during this process, and its original shape and performance can be retained by annealing the sample at 45 C. In some cases, the device performance may also be inuenced by non-uniform scattering pattern caused by the target. This non-uniform illumination can generate asymmetric actuation between the two gripper arms. An example of this is shown in Supplementary Movie 7, where a curved surface of a micro-bead provides an asymmetric reected light eld, resulting to different LCE deformation at different positions.
More generally, robotics employing smart materials such as LCEs has seen huge progress during the past decade. However, the research focus has mainly lied in sophisticated control over the deformation by modication of the actuator material42,43 or in using stimulated sources and complex light patterns15,29. We propose two potential trends for future research. Firstly,
feedback-type actuation allows one to use constant illumination to obtain complex deformation determined by the environment. We demonstrate this in our articial ytrap, where the action is powered by the light reected/scattered from nearby objects, as opposed to using the light-triggered deformation as a sensor for detecting environmental variation44. Secondly, the actuation process can affect the absorption of light that fuels the photomechanical motion, which in return provides feedback and modulates the original actuation18. We expect such feedback-type actuators to become pertinent in intelligent micro-robotic systems, therefore bringing novel alternatives for soft-robotic technologies.
In conclusion, we have demonstrated a light-powered gripping device, an articial ytrap, capable of mimicking the behavior of a natural ytrap. An optical bre is used to deliver the light energy needed to deform a liquid-crystal elastomer micro-actuator, whose operation is triggered by reected or scattered light harvested from the environment. Such reection- or scattering-induced deformation is further applied to induce feedback-type actuation, to obtain autonomous recognition and distinction between different micro-objects. The bre-tip gripper is a miniature system demonstrating a self-regulating, optically driven device, which may provide a pathway towards autonomous, intelligent micro-robotics.
Methods
Materials. The micro-actuator consists of nematic LCE network polymerized from a mixture containing 77 mol% of LC monomer 4-Methoxybenzoic acid 4-(6-acryloyloxyhexyloxy)phenyl ester (Synthon chemicals), 20 mol% of LC crosslinker 1,4-Bis-[4-(3-acryloyloxypropyloxy)benzoyloxy]-2-methylbenzene (Synthon chemicals), 2 mol% of light-responsive molecule N-Ethyl-N-(2-hydroxyethyl)-4-(4-nitrophenylazo)aniline (Disperse Red 1, Sigma Aldrich), and 1 mol% of photo-initiator (2,2-Dimethoxy-2-phenylacetophenone, Sigma Aldrich). All molecules were used as received. Drops of UV glue (UVS 91, Norland Products INC., Cranbury, NJ) were used as transparent windows in the center of LCE strips and as mechanical connectors between the LCE and the multimode optical bre(0.22 NA, 200 mm core, Thorlabs).
Sample preparation. For LC cell fabrication, two glass slides were rstly spin coated with 1 wt% water solution of polyvinyl alcohol (PVA Sigma Aldrich; 4,000 r.p.m., 1 min) and homeotropic alignment layer (JSR OPTMER, 6,000 r.p.m., 1 min), respectively. The PVA-coated glass slide was rubbed unidirectionallyby using a satin cloth, and subsequently blowed with high-pressure nitrogen to remove any dust particles from the surfaces. Tiny drops of UV glue (few nl each) were picked up by a sharp needle and placed onto the PVA-coated glass, after which the slide with the homeotropic alignment layer was glued on top of the PVA-coated one using 20 mm spacers (Thermo scientic) for dening the cell thickness. A UV LED (Thorlabs; 20 mW cm 2, 375 nm, 1 min) was used to cure the glue. The monomer mixture was prepared by magnetically stirring the LC mixture at 70 C (100 r.p.m.) for 1 hour. Then the mixture was inltrated into the cell on a heating stage at 70 C and cooled down to 30 C with a rate of5 C min 1, to reach splayed nematic alignment. Another UV LED (Prior Scientic; 150 mW cm 2, 385 nm, 1 min) was used to polymerize the LC mixture. The cell was opened, and LCE strips were cut out from the sample lm by using a blade.
For attaching the optical bre, rstly the cladding layer was removed, after which the bre was cut by using a scribe. Then the bre tip was dipped into a drop of UV glue, lifted up, and placed perpendicularly above the LCE strip. Approaching the bre tip towards the LCE strip was done using a vertical translation stage until the glue became in contact with the LCE center (connected with the transparent window). A UV LED (375 nm, 4 200 mW cm 2, 10 s) was used to stabilize the connection.
Elastomeric micro-cubes (PDMS) were fabricated by mixing SYLGARD(R) 184 silicone elastomer base with 10 wt% of its curing agent and solidied at 80 C for 5 h in a cell geometry with 2-mm-gap. 2 2 2 mm cubes were cut out from the
PDMS after opening the cell. Reective layer on PDMS cubics and micro-spheres (Fig. 3) was made by deposition of 100 nm silver in a metal evaporator (Edwards Auto 306), yielding reectivity of B90%. Scattering and absorbing layers were obtained by placing 2 2 mm-sized pieces of white paper and black foil,
respectively, on top of the PDMS cubes.
Characterization. Absorption spectra were measured with a UV-Vis spectrophotometer (Cary 60 UV-Vis, Agilent Technologies) equipped with a custom-made polarization controller. Optical images and movies were recorded by using a Canon 5D Mark III camera with a 100 mm lens, and thermal images were recorded
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with an Infrared camera (FLIR T420BX) equipped with a close-up 2 lens. Light
from a continuous-wave linearly polarized laser (488 nm, Coherent Genesis CX SLM) was coupled into the bre from one end, and output power from the LCE center at the other end was measured and reported as the excitation power for all the experiments. Light emitted from the bre is de-polarized with polarization ratio of B1.7. No visible actuation difference in LCE has been observed by change of input laser polarization. Before each experiment, the LCE strips were alternately immersed into water and ethanol, to remove surface charge potentially generated upon removing the strips from the glass cells, or upon interacting with objects such as PDMS. The force generation upon photoactuation was measured by mounting a 5 1 0.02 mm3 LCE strip onto a three-dimensional translation stage, and illu
minating with 488 nm laser at 45 angle of incidence, as shown in the inset of Fig. 4a. Upon illumination the sample bent over 90 and being in contact with a force sensor, the light-induced force vs. light intensity was recorded.
Data availability. The data that support the ndings of this study are available from the corresponding author upon request.
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Acknowledgements
A.P. gratefully acknowledges the nancial support of the European Research Council (Starting Grant project PHOTOTUNE; Agreement No. 679646). O.M.W. is thankful to the graduate school of Tampere University of Technology (TUT), and H.Z. to the TUT postdoctoral fellowship program, for supporting this work. We are indebted to Dr V. Manninen and Dr M. Virkki for assistance with silver deposition and spectral measurements. Dr P. Wasylczyk (Warsaw University), and Prof. Olli Ikkala (Aalto University) are acknowledged for inspiring discussions and insightful comments.
Author contributions
H.Z. and A.P. conceived the project; O.M.W. and H.Z. performed experiments. All authors contributed in writing the manuscript.
Additional information
Supplementary Information accompanies this paper at http://www.nature.com/naturecommunications
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How to cite this article: Wani, O. M. et al. A light-driven articial ytrap. Nat. Commun. 8, 15546 doi: 10.1038/ncomms15546 (2017).
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NATURE COMMUNICATIONS | 8:15546 | DOI: 10.1038/ncomms15546 | http://www.nature.com/naturecommunications
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Copyright Nature Publishing Group May 2017
Abstract
The sophistication, complexity and intelligence of biological systems is a continuous source of inspiration for mankind. Mimicking the natural intelligence to devise tiny systems that are capable of self-regulated, autonomous action to, for example, distinguish different targets, remains among the grand challenges in biomimetic micro-robotics. Herein, we demonstrate an autonomous soft device, a light-driven flytrap, that uses optical feedback to trigger photomechanical actuation. The design is based on light-responsive liquid-crystal elastomer, fabricated onto the tip of an optical fibre, which acts as a power source and serves as a contactless probe that senses the environment. Mimicking natural flytraps, this artificial flytrap is capable of autonomous closure and object recognition. It enables self-regulated actuation within the fibre-sized architecture, thus opening up avenues towards soft, autonomous small-scale devices.
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