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Relevant bibliographies by topics / Insect-inspired

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Academic literature on the topic 'Insect-inspired'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Insect-inspired"

1

Franceschini, Nicolas, Franck Ruffier, and Julien Serres. "Insect Inspired Autopilots." Journal of Aero Aqua Bio-mechanisms 1, no. 1 (2010): 2–10. http://dx.doi.org/10.5226/jabmech.1.2.

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Weber, Keven, Svetha Venkatesh, and Mandyam Srinivasan. "Insect-Inspired Robotic Homing." Adaptive Behavior 7, no. 1 (January 1999): 65–97. http://dx.doi.org/10.1177/105971239900700104.

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Dalgaty, Thomas, Elisa Vianello, Barbara De Salvo, and Jerome Casas. "Insect-inspired neuromorphic computing." Current Opinion in Insect Science 30 (December 2018): 59–66. http://dx.doi.org/10.1016/j.cois.2018.09.006.

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Franz, Matthias O., Javaan S. Chahl, and Holger G. Krapp. "Insect-Inspired Estimation of Egomotion." Neural Computation 16, no. 11 (November 1, 2004): 2245–60. http://dx.doi.org/10.1162/0899766041941899.

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Tangential neurons in the fly brain are sensitive to the typical optic flow patterns generated during egomotion. In this study, we examine whether a simplified linear model based on the organization principles in tangential neurons can be used to estimate egomotion from the optic flow. We present a theory for the construction of an estimator consisting of a linear combination of optic flow vectors that incorporates prior knowledge about the distance distribution of the environment and about the noise and egomotion statistics of the sensor. The estimator is tested on a gantry carrying an omnidirectional vision sensor. The experiments show that the proposed approach leads to accurate and robust estimates of rotation rates, whereas translation estimates are of reasonable quality, albeit less reliable.

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Zhang, Yansheng, Andrew Reid, and James Frederick Charles Windmill. "Insect-inspired acoustic micro-sensors." Current Opinion in Insect Science 30 (December 2018): 33–38. http://dx.doi.org/10.1016/j.cois.2018.09.002.

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Franceschini, Nicolas, Stéphane Viollet, Franck Ruffier, and Julien Serres. "Neuromimetic Robots Inspired by Insect Vision." Advances in Science and Technology 58 (September 2008): 127–36. http://dx.doi.org/10.4028/www.scientific.net/ast.58.127.

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Mintchev, Stefano, Sebastien de Rivaz, and Dario Floreano. "Insect-Inspired Mechanical Resilience for Multicopters." IEEE Robotics and Automation Letters 2, no. 3 (July 2017): 1248–55. http://dx.doi.org/10.1109/lra.2017.2658946.

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Ogam, Erick, Franck Ruffier, Armand Wirgin, and Andrew Oduor. "Miniaturization of insect‐inspired acoustic sensors." Journal of the Acoustical Society of America 127, no. 3 (March 2010): 1971. http://dx.doi.org/10.1121/1.3385044.

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Serres, Julien R., and Stéphane Viollet. "Insect-inspired vision for autonomous vehicles." Current Opinion in Insect Science 30 (December 2018): 46–51. http://dx.doi.org/10.1016/j.cois.2018.09.005.

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Liu, Hao. "Simulation-based insect-inspired flight systems." Current Opinion in Insect Science 42 (December 2020): 105–9. http://dx.doi.org/10.1016/j.cois.2020.10.001.

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Dissertations / Theses on the topic "Insect-inspired"

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Smith, Lincoln. "Insect inspired visual homing." Thesis, University of Sussex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443981.

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Guo, Shishi. "Biologically-inspired control framework for insect animation." Thesis, Bournemouth University, 2015. http://eprints.bournemouth.ac.uk/22502/.

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Insects are common in our world, such as ants, spiders, cockroaches etc. Virtual representations of them have wide applications in Virtual Reality (VR), video games and films. Compared with the large volume of works in biped animation, the problem of insect animation was less explored. Their small body parts, complex structures and high-speed movements challenge the standard techniques of motion synthesis. This thesis addressed the aforementioned challenge by presenting a framework to efficiently automate the modelling and authoring of insect locomotion. This framework is inspired by two key observations of real insects: fixed gait pattern and distributed neural system. At the top level, a Triangle Placement Engine (TPE) is modelled based on the double-tripod gait pattern of insects, and determines the location and orientation of insect foot contacts, given various user inputs. At the low level, a Central Pattern Generator (CPG) controller actuates individual joints by mimicking the distributed neural system of insects. A Controller Look-Up Table (CLUT) translates the high-level commands from the TPE into the low-level control parameters of the CPG. In addition, a novel strategy is introduced to determine when legs start to swing. During high-speed movements, the swing mode is triggered when the Centre of Mass (COM) steps outside the Supporting Triangle. However, this simplified mechanism is not sufficient to produce the gait variations when insects are moving at slow speed. The proposed strategy handles the case of slow speed by considering four independent factors, including the relative distance to the extreme poses, the stance period, the relative distance to the neighbouring legs, the load information etc. This strategy is able to avoid the issues of collisions between legs or over stretching of leg joints, which are produced by conventional methods. The framework developed in this thesis allows sufficient control and seamlessly fits into the existing pipeline of animation production. With this framework, animators can model the motion of a single insect in an intuitive way by specifying the walking path, terrains, speed etc. The success of this framework proves that the introduction of biological components could synthesise the insect animation in a naturalness and interactive fashion.

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Strübbe, Simon [Verfasser]. "Insect-Inspired Visual Self-Motion Estimation / Simon Strübbe." Bielefeld : Universitätsbibliothek Bielefeld, 2019. http://d-nb.info/1184476365/34.

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Chatterjee, Krishnashis. "Analytical and Experimental Investigation of Insect Respiratory System Inspired Microfluidics." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85688.

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Microfluidics has been the focal point of research in various disciplines due to its advantages of portability and cost effectiveness, and the ability to perform complex tasks with precision. In the past two decades microfluidic technology has been used to cool integrated circuits, for exoplanetary chemical analysis, for mimicking cellular environments, and in the design of specialized organ-on-a-chip devices. While there have been considerable advances in the complexity and miniaturization of microfluidic devices, particularly with the advent of microfluidic large-scale integration (mLSI) and microfluidic very-large-scale-integration (mVLSI), in which there are hundreds of thousands of flow channels per square centimeter on a microfluidic chip, there remains an actuation overhead problem: these small, complex microfluidic devices are tethered to extensive off-chip actuation machinery that limit their portability and efficiency. Insects, in contrast, actively and efficiently handle their respiratory air flows in complex networks consisting of thousands of microscale tracheal pathways. This work analytically and experimentally investigates the viability of incorporating some of the essential kinematics and actuation strategies of insect respiratory systems in microfluidic devices. Mathematical models of simplified individual tracheal pathways were derived and analyzed, and insect-mimetic PDMS-based valveless microfluidic devices were fabricated and tested. It was found that not only are these devices are capable of pumping fluids very efficiently using insect-mimetic actuation techniques, but also that the fluid flow direction and magnitude could be controlled via the actuation frequency alone, a feature never before realized in microfluidic devices. These results suggest that insect-mimicry may be a promising direction for designing more efficient microfluidic devices.
Ph. D.
Microfluidics or the study of fluids at the microscale has gained a lot of interest in the recent past due to its various applications starting from electronic chip cooling to biomedical diagnostic devices and exoplanetary chemical analysis. Though there has been a lot of advancements in the functionality and portability of microfluidic devices, little has been achieved in the improvement of the peripheral machinery needed to operate these devices. On the other hand insects can expertly manipulate fluids, in their body, at the microscale with the help of their efficient respiratory capabilities. In the present study we mimic some essential features of the insect respiratory system by incorporating them in microfluidic devices. The feasibility of practical application of these techniques have been tested, at first, analytically by mathematically modeling the fluid flow in insect respiratory tract mimetic microchannels and tubes and then by fabricating, testing and analyzing the functionality of microfluidic devices. The mathematical models, using slip boundary conditions, showed that the volumetric fluid flow through a trachea mimetic tube decreased with the increase in the amount of slip. Apart from that it also revealed a fundamental difference between shear and pressure driven flow at the microscale. The microfluidic devices exhibited some unique characteristic features never seen before in valveless microfluidic devices and have the potential in reducing the actuation overhead. These devices can be used to simplify the operating procedure and subsequently decrease the production cost of microfluidic devices for various applications.

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Haenicke, Joachim [Verfasser]. "Modeling insect inspired mechanisms of neural and behavioral plasticity / Joachim Haenicke." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1079841504/34.

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Nguyen, Xuan Thong. "Smart VLSI micro-sensors for velocity estimation inspired by insect vision /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phn5769.pdf.

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Mackie, David J. "Biologically inspired acoustic systems : from insect ears to MEMS microphone structures." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26578.

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Although difficult to notice initially, examples of bioinspired technology have now become commonplace in society today. Construction materials, aerodynamic transport design, photography equipment and robot technology are among many research fields which have benefitted from studying evolution-driven solutions to common engineering problems. One field of engineering research which has recently begun to take inspiration from the natural world is that of acoustical systems such as microphones and loudspeakers. Specifically, to solve the problems involved in the miniaturisation of these systems, the auditory organs of insects are inspiring new design strategies. In this thesis, one such insect auditory system, that of the desert locust Schistocerca gregaria, was extensively studied beginning with a comprehensive review of the historical observations of the system. Micro-scanning laser Doppler vibrometry was then used to characterise the response of the locust ear, providing an explanation for the method behind frequency discrimination in the ear. Afterwards, finite element models, simulating the ear's features, were constructed with a view to furthering the understanding of each component of the hearing system. Directionality of the locust hearing system was also briefly investigated through computational modelling. All of these studies were performed with the overall aim of feeding into the future design of bioinspired acoustic sensors. Devices constructed using micro-electro-mechanical systems fabrication techniques, with similar dimensions to the ear of the parasitoid fly, Ormia ochracea, were then experimentally tested using laser vibrometry and simulated using finite element analysis. Although not originally designed to operate as such, one MEMS structure exhibited some element of mechanical directionality in its response, found to be both predictable and repeatable. The objective of this section of the PhD research was to test the hypothesis that any system with sufficient degrees of freedom is capable of displaying an element of directionality in its vibrational response.

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Phillips, N. "Experimental unsteady aerodynamics relevant to insect-inspired flapping-wing micro air vehicles." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/5824.

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Small hand-held micro air vehicles (MAVs) can serve many functions unsuitable for a manned vehicle, and can be inexpensive and easily deployed. MAVs for indoor applications are underdeveloped due to their demanding requirements. Indoor requirements are best met by a flapping-wing micro air vehicle (FMAV) based on insect-like flapping-wing flight, which offers abilities of sustained hover, aerial agility, and energy efficiency. FMAV development is hampered by a lack of understanding of insect-like flapping-wing aerodynamics, particularly at the FMAV scale. An experimental programme at the FMAV scale (Reynolds number on the order of 104) was undertaken, investigating: leading-edge vortex (LEV) stability, flapping kinematic effects on lift and the flowfield, and wing planform shape effects on the flowfield. For these experiments, an apparatus employing a novel flapping mechanism was developed, which achieved variable three-degreeof- freedom insect-like wing motions (flapping kinematics) with a high degree of repeatability in air up to a 20Hz flapping frequency. Mean lift measurements and spatially dense volumetric flowfield measurements using stereoscopic particle image velocimetry (PIV) were performed while various flapping kinematic parameters and wing planform were altered, to observe their effects. Three-dimensional vortex axis trajectories were reconstructed, revealing vortex characteristics such as axial velocity and vorticity, and flow evolution patterns. The first key result was the observation of a stable LEV at the FMAV scale which contributed to half of the mean lift. The LEV exhibited vortex breakdown, but still augmented lift as Reynolds number was increased indicating that FMAVs can exploit this lifting mechanism. The second key result was the identification of the trends of mean lift versus the tested kinematic parameters at the FMAV scale, and appropriate values for FMAV design. Appropriate values for lift generation, while taking mechanical practicalities into account, included a flat wingtip trajectory with zero plunge amplitude, angle of attack at mid-stroke of 45 degrees , rotation phase of +5:5%, and maximum flapping frequency and stroke amplitude.

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Conn, Andrew T. "Development of novel flapping mechanism technologies for insect-inspired micro air vehicles." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492441.

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Insect-inspired micro air vehicles (MAVs) have the capacity for higher lift forces and greater manoeuvrability at low flight speeds compared to conventional flight platforms, making them suitable for novel indoor flight applications. This thesis presents development studies of an actuated flapping mechanism for an insect-inspired MAV. An original theoretical understanding has shown that the kinematical constraint of a flapping mechanism fundamentally determines its complexity and performance. An under-constrained mechanism is optimal but almost always requires a linear input. A power optimisation study has demonstrated that the only technologically mature actuation devices with viable power densities for flight are rotary. Consequently, previous airborne flapping MAVs utilised constrained rotary-input mechanisms which require conventional control surfaces that significantly reduce flight manoeuvrability.

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Albert-Davie, Florence. "Insect wing design and its application to bio-inspired Unmanned Air Systems." Thesis, Royal Veterinary College (University of London), 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766323.

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Book chapters on the topic "Insect-inspired"

1

Xing, Bo, and Wen-Jing Gao. "Luminous Insect Inspired Algorithms." In Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms, 123–37. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03404-1_8.

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Franz, Matthias O., and Javaan S. Chahl. "Insect-Inspired Estimation of Self-Motion." In Biologically Motivated Computer Vision, 171–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36181-2_17.

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Franceschini, Nicolas, Stéphane Viollet, Franck Ruffier, and Julien Serres. "Neuromimetic Robots Inspired by Insect Vision." In Advances in Science and Technology, 127–36. Stafa: Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908158-15-x.127.

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Gorb, Stanislav N. "Insect-Inspired Technologies: Insects as a Source for Biomimetics." In Insect Biotechnology, 241–64. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9641-8_13.

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Philippides, Andrew, Nathan Steadman, Alex Dewar, Christopher Walker, and Paul Graham. "Insect-Inspired Visual Navigation for Flying Robots." In Biomimetic and Biohybrid Systems, 263–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42417-0_24.

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Deyhle, Hans, Georg Schulz, Bert Müller, Roger H. French, Roger H. French, Meghan E. Samberg, Nancy A. Monteiro-Riviere, et al. "Insect-Inspired Vision and Visually Guided Behavior." In Encyclopedia of Nanotechnology, 1122–27. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_221.

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Neumann, Titus R., and Heinrich H. Bülthoff. "Insect Inspired Visual Control of Translatory Flight." In Advances in Artificial Life, 627–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44811-x_71.

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Kagioulis, Efstathios, Andrew Philippides, Paul Graham, James C. Knight, and Thomas Nowotny. "Insect Inspired View Based Navigation Exploiting Temporal Information." In Biomimetic and Biohybrid Systems, 204–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64313-3_20.

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Srinivasan, M. V., J. S. Chahl, K. Weber, S. Venkatesh, S. W. Zhang, and M. G. Nagle. "Robot Navigation Inspired by Principles of Insect Vision." In Field and Service Robotics, 12–16. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_3.

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Graham, Paul, and Andrew Philippides. "Insect-Inspired Visual Systems and Visually Guided Behavior." In Encyclopedia of Nanotechnology, 1–9. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-6178-0_221-2.

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Conference papers on the topic "Insect-inspired"

1

Wood, Robert J. "Insect-inspired robots as tools for robot-inspired biology." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.95162.

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Yan, Xingyao, Hongjun Zhang, Zhongdi Su, and Shan-An Zhu. "A Review of Insect Inspired Aircraft." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162236.

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Millward, Blayze, Steve Maddock, and Michael Mangan. "Towards Insect Inspired Visual Sensors for Robots." In UKRAS20 Conference: “Robots into the real world”. EPSRC UK-RAS Network, 2020. http://dx.doi.org/10.31256/do2ik3h.

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Dufour, L., K. Owen, S. Mintchev, and D. Floreano. "A drone with insect-inspired folding wings." In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016. http://dx.doi.org/10.1109/iros.2016.7759255.

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Alers, Sjriek, Karl Tuyls, Bijan Ranjbar-Sahraei, Daniel Claes, and Gerhard Weiss. "Insect-Inspired Robot Coordination: Foraging and Coverage." In Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems. The MIT Press, 2014. http://dx.doi.org/10.7551/978-0-262-32621-6-ch123.

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Löffler, Diana, Takashi Toriizuka, Yuki Sakakibara, Philipp Schaper, and Jörn Hurtienne. "Examining the design space of insect inspired notifications." In the 2015 ACM International Joint Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2800835.2800896.

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Rowlings, Matthew, Andy Tyrrell, and Martin Trefzer. "Social-Insect-Inspired Networking for Autonomous Fault Tolerance." In 2015 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2015. http://dx.doi.org/10.1109/ssci.2015.172.

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Guzel, Metehan, and Muhammet Unal. "A survey of insect eye inspired visual sensors." In 2015 9th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2015. http://dx.doi.org/10.1109/eleco.2015.7394526.

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Qu, Hongchun, Jingiing Wu, and Zonglan Li. "A New Clustering Algorithm Inspired by Insect Pollination." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997410.

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Guo, Wei, Qingjie Zhao, Bo Wang, and Guanqun Yu. "Insect vision inspired particle filter for visual tracking." In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2013. http://dx.doi.org/10.1109/robio.2013.6739875.

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