2,962 research outputs found
Towards Odor-Sensitive Mobile Robots
J. Monroy, J. Gonzalez-Jimenez, "Towards Odor-Sensitive Mobile Robots", Electronic Nose Technologies and Advances in Machine Olfaction, IGI Global, pp. 244--263, 2018, doi:10.4018/978-1-5225-3862-2.ch012
Versión preprint, con permiso del editorOut of all the components of a mobile robot, its sensorial system is undoubtedly among the most critical
ones when operating in real environments. Until now, these sensorial systems mostly relied on range
sensors (laser scanner, sonar, active triangulation) and cameras. While electronic noses have barely
been employed, they can provide a complementary sensory information, vital for some applications, as
with humans. This chapter analyzes the motivation of providing a robot with gas-sensing capabilities
and also reviews some of the hurdles that are preventing smell from achieving the importance of other
sensing modalities in robotics. The achievements made so far are reviewed to illustrate the current status
on the three main fields within robotics olfaction: the classification of volatile substances, the spatial
estimation of the gas dispersion from sparse measurements, and the localization of the gas source within
a known environment
Proceedings of Abstracts Engineering and Computer Science Research Conference 2019
© 2019 The Author(s). This is an open-access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For further details please see https://creativecommons.org/licenses/by/4.0/. Note: Keynote: Fluorescence visualisation to evaluate effectiveness of personal protective equipment for infection control is © 2019 Crown copyright and so is licensed under the Open Government Licence v3.0. Under this licence users are permitted to copy, publish, distribute and transmit the Information; adapt the Information; exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application. Where you do any of the above you must acknowledge the source of the Information in your product or application by including or linking to any attribution statement specified by the Information Provider(s) and, where possible, provide a link to this licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/This book is the record of abstracts submitted and accepted for presentation at the Inaugural Engineering and Computer Science Research Conference held 17th April 2019 at the University of Hertfordshire, Hatfield, UK. This conference is a local event aiming at bringing together the research students, staff and eminent external guests to celebrate Engineering and Computer Science Research at the University of Hertfordshire. The ECS Research Conference aims to showcase the broad landscape of research taking place in the School of Engineering and Computer Science. The 2019 conference was articulated around three topical cross-disciplinary themes: Make and Preserve the Future; Connect the People and Cities; and Protect and Care
Airborne chemical sensing with mobile robots
Airborne chemical sensing with mobile robots has been an active research areasince the beginning of the 1990s. This article presents a review of research work in this field,including gas distribution mapping, trail guidance, and the different subtasks of gas sourcelocalisation. Due to the difficulty of modelling gas distribution in a real world environmentwith currently available simulation techniques, we focus largely on experimental work and donot consider publications that are purely based on simulations
Design and process/measurement for immersed element control in a reconfigurable vertically falling soap film
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.Includes bibliographical references (p. 24-25).Reinforcement learning has proven successful at harnessing the passive dynamics of underactuated systems to achieve least energy solutions. However, coupled fluid-structural models are too computationally intensive for in-the-loop control in viscous flow regimes. My vertically falling soap film will provide a reconfigurable experimental environment for machine learning controllers. The real-time position and velocity data will be collected with a High Speed Video system, illuminated by a Low Pressure Sodium Lamp. Approximating lines of interference within the soap film to known pressure variations, controllers will shape downstream flow to desired conditions. Though accurate measurement still eludes those without Laser Doppler Velocimetry, order of magnitude Reynolds numbers can be estimated to describe the regime of controller inquiry.by John Glowa.S.B
COBE's search for structure in the Big Bang
The launch of Cosmic Background Explorer (COBE) and the definition of Earth Observing System (EOS) are two of the major events at NASA-Goddard. The three experiments contained in COBE (Differential Microwave Radiometer (DMR), Far Infrared Absolute Spectrophotometer (FIRAS), and Diffuse Infrared Background Experiment (DIRBE)) are very important in measuring the big bang. DMR measures the isotropy of the cosmic background (direction of the radiation). FIRAS looks at the spectrum over the whole sky, searching for deviations, and DIRBE operates in the infrared part of the spectrum gathering evidence of the earliest galaxy formation. By special techniques, the radiation coming from the solar system will be distinguished from that of extragalactic origin. Unique graphics will be used to represent the temperature of the emitting material. A cosmic event will be modeled of such importance that it will affect cosmological theory for generations to come. EOS will monitor changes in the Earth's geophysics during a whole solar color cycle
Simulations of propelling and energy harvesting articulated bodies via vortex particle-mesh methods
The emergence and understanding of new design paradigms that exploit flow
induced mechanical instabilities for propulsion or energy harvesting demands
robust and accurate flow structure interaction numerical models. In this
context, we develop a novel two dimensional algorithm that combines a Vortex
Particle-Mesh (VPM) method and a Multi-Body System (MBS) solver for the
simulation of passive and actuated structures in fluids. The hydrodynamic
forces and torques are recovered through an innovative approach which crucially
complements and extends the projection and penalization approach of Coquerelle
et al. and Gazzola et al. The resulting method avoids time consuming
computation of the stresses at the wall to recover the force distribution on
the surface of complex deforming shapes. This feature distinguishes the
proposed approach from other VPM formulations. The methodology was verified
against a number of benchmark results ranging from the sedimentation of a 2D
cylinder to a passive three segmented structure in the wake of a cylinder. We
then showcase the capabilities of this method through the study of an energy
harvesting structure where the stocking process is modeled by the use of
damping elements
L\'evy walks
Random walk is a fundamental concept with applications ranging from quantum
physics to econometrics. Remarkably, one specific model of random walks appears
to be ubiquitous across many fields as a tool to analyze transport phenomena in
which the dispersal process is faster than dictated by Brownian diffusion. The
L\'{e}vy walk model combines two key features, the ability to generate
anomalously fast diffusion and a finite velocity of a random walker. Recent
results in optics, Hamiltonian chaos, cold atom dynamics, bio-physics, and
behavioral science demonstrate that this particular type of random walks
provides significant insight into complex transport phenomena. This review
provides a self-consistent introduction to L\'{e}vy walks, surveys their
existing applications, including latest advances, and outlines further
perspectives.Comment: 50 page
生物模倣ソフト魚ロボットの研究開発
In nature, the environment varies from day to day. Through natural selection and competition law of survival of the fittest, the winning creatures survive and their species are able to retain and persist in nature. Based on this fact, creatures existent in nature have their unique features and advantages adapt to the surrounding environment. In recent years, many researches focused on the features of the creatures in nature have been done actively to clarify their morphology and functions and apply the morphology and functions to various fields. Among these researches, the development of the biomimetic robots based on mimicking the creature’s structures and functions has become an active field in robotics recently. In the research, the development of biomimetic robotic fish is focused. So far, there are many researches on biomimetic robotic fish, but improvement on motion performances and efficiency is still an important issue for robot development. Specially, on the biomimetic soft robotic fish utilizing the flexibility of fishes, the developments have been done by the trial and error approach. That is, the design and control method of soft robotic fish has not been established currently. Therefore, it motives us to investigate the design and control of soft robotic fish by numerical simulation that takes into account the interaction between flexible structure and surrounding fluid to develop the biomimetic soft robotic fish with high performance. In order to develop the biomimetic soft robotic fish with high performance, the basic design method and corresponding numerical simulation system are firstly proposed and constructed in this dissertation. Then, based on finite element method (FEM), modelling of soft robotic fish by mimicking the soft structure and driving mechanism of fishes is carried out. The propulsion motion and propulsive force of the soft robotic fish are investigated through two kinds of numerical analyses. One is the modal and transient analysis considering the surrounding fluid as acoustic fluid. The propulsion mode and amplitude of the propulsion motion of soft robotic fish corresponding directly to the propulsion mechanism and motion performance of the robotic fish can be investigated. The other is the fluid-structure interaction (FSI) analysis. The interaction between soft robot structure and surrounding fluid including the dissipation due to fluid viscosity and influence of wake performance around the soft robotic fish are taken into account. From FSI analysis, the hydrodynamic performances of the soft robotic fish can be obtained for investigating its propulsion motion. It is possible to further improve the performance of the soft robotic fish through its design and control based on FSI analysis. Besides, based on coupling analysis by using acoustic fluid, the turning motion control of the soft robotic fish is investigated by its propulsion modes in the fluid. In order to investigate the feasibility of modelling method and numerical simulation analysis on design and control of the biomimetic soft robotic fish, the performance evaluation is carried out by comparison between the simulation and experiment on an actual prototype. Finally, the optimization and improvement are performed for developing the biomimetic soft robotic fish with higher performance based on verified coupling analysis considering the fluid as acoustic fluid, and corresponding performance evaluation on new robot prototype is presented. The performance improvement of the soft robotic fish is confirmed through the new robot prototype. The dissertation consists of six chapters and the main contents are shown as follows. Chapter 1 is an introduction. The background and relative previous work about biomimetic soft robotic fish are briefly reviewed. It summarizes the current research status and problems of biomimetic soft robotic fish, and describes the purposes of this research. Chapter 2 presents the design method, procedures and numerical simulation system in the present research for developing the biomimetic soft robotic fish with high performance. Different from previous development method, our purpose is how to design and control the soft robotic fish by utilizing interaction between the flexible structure and surrounding fluid effectively based on numerical simulations. Therefore, it is necessary to model a fish-like soft robot structure including soft actuators and an enclosed fluid. Besides, by the numerical analysis considering the interaction between flexible structure and fluid, the fish-like propulsion motion should be realized and established, and then the robot structure and control inputs are needed to be optimized for performance improvement. In order to meet these requirements of designing and developing the optimal soft robotic fish, the design method based on modelling, simulation analysis and improvement is presented and the numerical simulation system for soft robotic fish is built. In the simulation system, modelling of soft robotic fish, modal and transient analysis considering the enclosed fluid as acoustic fluid are firstly described based on FEM to realize the fish-like propulsion motion with large amplitude for the soft robotic fish. Then, the FSI analysis is performed to describe and establish the hydrodynamic performances of the soft robotic fish. Based on this numerical simulation system, it is possible to develop the biomimetic soft robotic fish with high performance effectively by optimization of design and control of the soft robotic fish. Chapter 3 describes the modelling and numerical analysis of biomimetic soft robotic fish by using the method presented in Chapter 2. The soft robotic fish uses the piezoelectric fiber composite (PFC) as soft actuator. Firstly, the relationships between the input voltage and generated stress of the PFC are derived. The generated stress can be applied on soft structure to investigate the motion performance of the soft robotic fish. To support the driving model of the PFC, the corresponding experiments on simple beam model are carried out. By comparing the simulation results with experimental results, the effectiveness of the driving model is verified. Then, the modal analysis in which the fluid is considered as acoustic fluid is performed. The structural mode frequencies and mode shapes of the soft robotic fish in the fluid are calculated. By comparing these modes’ motion with those of the real fishes, the fish-like propulsion mode is identified to realize the corresponding propulsion motion of the soft robotic fish. Furthermore, based on the verified driving model of soft actuator, the amplitude of the main propulsion motion of soft robotic fish is calculated. Through FSI analysis, the relationships of driving frequencies of input signal with propulsive force and displacement of propulsion motion, and vortex distribution in the wake around the soft robotic fish are investigated for the case of fixing robot head. Besides, the motion control of soft robot is investigated to realize turning motion in the fluid. Through controlling the input voltage amplitude on soft actuators of the robot, turning right and turning left motion are identified in the swimming when the input voltage amplitudes on two actuators are in asymmetric distribution. Chapter 4 is experiment evaluation. In order to validate the results of numerical simulation analysis described in Chapter 3, the mode shapes, amplitude of propulsion motion, propulsive force and vortex distribution around soft robotic fish for the case of fixing robot head, and turning motion are measured by using actual robot prototype. The present simulation results are congruent with experiments. By the results, the effectiveness of the modelling method and numerical analysis used in the research is verified and they are useful to predict the propulsion characteristics of the soft robotic fish in the fluid for performance improvement. Chapter 5 develops a new soft robotic fish with high performance based on above modelling method and numerical analysis by optimization. Firstly, the structural parameters of the robot are allowed to vary within a range and the amplitude of the propulsion motion for the soft robot is calculated for different parameters by the numerical analysis. Then the structural parameters of the robot capable of propulsion motion with largeramplitude are chosen for improvement. Based on this result, new soft robot is designed and evaluated by experiments. From the experimental results of the new soft robot, it is confirmed that the higher swimming speed, better fish-like swimming performance and larger turning velocity are realized. It can be said that the new soft robotic fish has been developed successfully for improvement. Chapter 6 summarizes the conclusions and future works of this research.電気通信大学201
A numerical study of fin and jet propulsions involving fluid-structure interactions
Fish swimming is elegant and efficient, which inspires humans to learn from them to design
high-performance artificial underwater vehicles. Research on aquatic locomotion has made
extensive progress towards a better understanding of how aquatic animals control their
flexible body and fin for propulsion. Although the structural flexibility and deformation of
the body and fin are believed to be important features to achieve optimal swimming
performance, studies on high-fidelity deformable body and fin with complex material
behavior, such as non-uniform stiffness distributions, are rare.
In this thesis, a fully coupled three-dimensional high-fidelity fluid-structure interaction (FSI)
solver is developed to investigate the flow field evolution and propulsion performance of
caudal fin and jet propulsion involving body and/or fin deformation. Within this FSI solver,
the fluid is resolved by solving unsteady and viscous Navier-Stokes equations based on the
finite volume method with a multi-block grid system. The solid dynamics are solved by a
nonlinear finite element method. The coupling between the two solvers is achieved in a
partitioned approach in which convergence check and sub-iteration are implemented to
ensure numerical stability and accuracy. Validations are conducted by comparing the
simulation results of classical benchmarks with previous data in the literature, and good
agreements between them are obtained.
The developed FSI solver is then applied to study the bio-inspired fin and jet propulsion
involving body deformation. Specifically, the effect of non-uniform stiffness distributions of
fish body and/or fin, key features of fish swimming which have been excluded in most
previous studies, on the propulsive performance is first investigated. Simulation results of a
sunfish-like caudal fin model and a tuna-inspired swimmer model both show that larger
thrust and propulsion efficiency can be achieved by a non-uniform stiffness distribution (e.g.,
increased by 11.2% and 9.9%, respectively, for the sunfish-like model) compared with a
uniform stiffness profile. Despite the improved propulsive e performance, a bionic variable
fish body stiffness does not yield fish-like midline kinematics observed in real fish,
suggesting that fish movement involves significant active control that cannot be replicated
purely by passive deformations.
Subsequent studies focus on the jet propulsion inspired by squid locomotion using the
developed numerical solver. Simulation results of a two-dimensional inflation-deflation jet
propulsion system, whose inflation is actuated by an added external force that mimics the
muscle constriction of the mantle and deflation is caused by the release of elastic energy of
the structure, suggest larger mean thrust production and higher efficiency in high Reynolds
number scenarios compared with the cases in laminar flow. A unique symmetry-breaking
instability in turbulent flow is found to stem from irregular internal body vortices, which
cause symmetry breaking in the wake. Besides, a three-dimensional squid-like jet propulsion
system in the presence of background flow is studied by prescribing the body deformation
and jet velocity profiles. The effect of the background flow on the leading vortex ring
formation and jet propulsion is investigated, and the thrust sources of the overall pulsed jet
are revealed as well.
Finally, FSI analysis on motion control of a self-propelled flexible swimmer in front of a
cylinder utilizing proportional-derivative (PD) control is conducted. The amplitude of the
actuation force, which is applied to the swimmer to bend it to produce thrust, is dynamically
tuned by a feedback PD controller to instruct the swimmer to swim the desired distance from
an initial position to a target location and then hold the station there. Despite the same
swimming distance, a swimmer whose departure location is closer to the cylinder requires
less energy consumption to reach the target and hold the position there.Fish swimming is elegant and efficient, which inspires humans to learn from them to design
high-performance artificial underwater vehicles. Research on aquatic locomotion has made
extensive progress towards a better understanding of how aquatic animals control their
flexible body and fin for propulsion. Although the structural flexibility and deformation of
the body and fin are believed to be important features to achieve optimal swimming
performance, studies on high-fidelity deformable body and fin with complex material
behavior, such as non-uniform stiffness distributions, are rare.
In this thesis, a fully coupled three-dimensional high-fidelity fluid-structure interaction (FSI)
solver is developed to investigate the flow field evolution and propulsion performance of
caudal fin and jet propulsion involving body and/or fin deformation. Within this FSI solver,
the fluid is resolved by solving unsteady and viscous Navier-Stokes equations based on the
finite volume method with a multi-block grid system. The solid dynamics are solved by a
nonlinear finite element method. The coupling between the two solvers is achieved in a
partitioned approach in which convergence check and sub-iteration are implemented to
ensure numerical stability and accuracy. Validations are conducted by comparing the
simulation results of classical benchmarks with previous data in the literature, and good
agreements between them are obtained.
The developed FSI solver is then applied to study the bio-inspired fin and jet propulsion
involving body deformation. Specifically, the effect of non-uniform stiffness distributions of
fish body and/or fin, key features of fish swimming which have been excluded in most
previous studies, on the propulsive performance is first investigated. Simulation results of a
sunfish-like caudal fin model and a tuna-inspired swimmer model both show that larger
thrust and propulsion efficiency can be achieved by a non-uniform stiffness distribution (e.g.,
increased by 11.2% and 9.9%, respectively, for the sunfish-like model) compared with a
uniform stiffness profile. Despite the improved propulsive e performance, a bionic variable
fish body stiffness does not yield fish-like midline kinematics observed in real fish,
suggesting that fish movement involves significant active control that cannot be replicated
purely by passive deformations.
Subsequent studies focus on the jet propulsion inspired by squid locomotion using the
developed numerical solver. Simulation results of a two-dimensional inflation-deflation jet
propulsion system, whose inflation is actuated by an added external force that mimics the
muscle constriction of the mantle and deflation is caused by the release of elastic energy of
the structure, suggest larger mean thrust production and higher efficiency in high Reynolds
number scenarios compared with the cases in laminar flow. A unique symmetry-breaking
instability in turbulent flow is found to stem from irregular internal body vortices, which
cause symmetry breaking in the wake. Besides, a three-dimensional squid-like jet propulsion
system in the presence of background flow is studied by prescribing the body deformation
and jet velocity profiles. The effect of the background flow on the leading vortex ring
formation and jet propulsion is investigated, and the thrust sources of the overall pulsed jet
are revealed as well.
Finally, FSI analysis on motion control of a self-propelled flexible swimmer in front of a
cylinder utilizing proportional-derivative (PD) control is conducted. The amplitude of the
actuation force, which is applied to the swimmer to bend it to produce thrust, is dynamically
tuned by a feedback PD controller to instruct the swimmer to swim the desired distance from
an initial position to a target location and then hold the station there. Despite the same
swimming distance, a swimmer whose departure location is closer to the cylinder requires
less energy consumption to reach the target and hold the position there
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