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  • TA1-2040  (328)
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  • MDPI - Multidisciplinary Digital Publishing Institute  (611)
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  • English  (611)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Non-Newtonian (non-linear) fluids are common in nature, for example, in mud and honey, but also in many chemical, biological, food, pharmaceutical, and personal care processing industries. This Special Issue of Fluids is dedicated to the recent advances in the mathematical and physical modeling of non-linear fluids with industrial applications, especially those concerned with CFD studies. These fluids include traditional non-Newtonian fluid models, electro- or magneto-rheological fluids, granular materials, slurries, drilling fluids, polymers, blood and other biofluids, mixtures of fluids and particles, etc.
    Keywords: TA1-2040 ; T1-995 ; Poiseuille–Couette flow ; membrane ; viscous fluid ; channel flow ; existence theorem ; yield stress ; hemoglobe capacitor ; creeping flows ; viscoplastic fluids ; projection method ; power-law fluid ; first- and second-order slip ; Mittag–Leffler ; lubrication ; viscoplastic fluid ; rupture ; convection ; Re numbers ; enhanced oil recovery (EOR) ; SPH-FEM ; Gamma densitometer ; oil recovery ; non-newtonian fluids ; marginal function ; particle interaction ; computational fluid dynamics ; non-isothermal flows ; suspensions ; Brinkman equation ; lubrication approximation (76A05 ; lid-driven cavity ; smoothed particle hydrodynamics (SPH) ; 76D08 ; Phan-Thien–Tanner (PTT) model ; bubble suspension ; porous media ; non-equilibrium thermodynamics ; porous medium ; suspension viscosity ; hemoglobin ; convection-diffusion ; slug translational velocity ; closure relationship ; non-linear fluids ; wormlike micellar solutions (WMS) ; high viscosity oil ; viscoelastic surfactants (VES) ; 76A20) ; meshless ; Bingham fluid ; Reynolds equation ; generalised simplified PTT ; dense suspension ; chemical EOR (cEOR) ; buoyancy force ; viscosity ratio ; aspect ratio ; rheology ; lubrication approximation ; fluid-solid interaction (FSI) ; optimal control ; natural convection ; biofluids ; shear-dependent viscosity ; thermodynamic capacitor ; shear-thinning ; stokesian dynamics ; weak solution ; biological capacitor ; cement ; variable viscosity ; Couette flow ; pressure boundary conditions ; inhomogeneous fluids ; boundary control ; similarity transformation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The development of solid state gas sensors based on microtransducers and nanostructured sensing materials is the key point in the design of portable measurement systems able to reach sensing and identification performance comparable with analytical ones. In such a context several efforts must be spent of course in the development of the sensing material, but also in the choice of the transducer mechanism and its structure, in the electrical characterization of the performance and in the design of suitable measurement setups. This call for papers invites researchers worldwide to report about their novel results on the most recent advances and overview in design and measurements for applications in gas sensors, along with their relevant features and technological aspects. Original research papers are welcome (but not limited) on all aspects that focus on the most recent advances in: (i) basic principles and modeling of gas and VOCs sensors; (ii) new gas sensor principles and technologies; (iii) Characterization and measurements methodologies; (iv) transduction and sampling systems; (vi) package optimization; (vi) gas sensor based systems and applications.
    Keywords: TA1-2040 ; T1-995 ; indium oxide ; n/a ; environmental monitoring ; semiconductor ; gas sensor ; packed gas chromatographic column ; ultrathin carbon layer ; metal-oxide-semiconductor array sensor ; halitosis ; laser ablation ; capacitive micromachined ultrasonic transducers (CMUT) ; LTCC side via ; MEMS ; indirect packaging ; gas sensing ; efficiency ; bad breath ; electrospray ; array optimization ; low temperature co-fired ceramic (LTCC) ; electronic nose ; UV irradiation ; core/shell nanostructure ; combinatorial and high-throughput technique ; sensitive material ; hydrogen sulfide ; CO detection ; ZnO ; amperometric ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
    Keywords: off-shore wind farms (OSWFs) ; wake model ; wind turbine (WT) ; Extreme Learning Machine (ELM) ; wind power (WP) ; large-eddy simulation (LES) ; point-absorbing ; wave energy converter (WEC) ; maximum power point tracking (MPPT) ; flower pollination algorithm (FPA) ; power take-off (PTO) ; hill-climbing method ; Kirsten–Boeing ; vertical axis turbine ; optimization ; neural nets ; Tensorflow ; ANSYS CFX ; metamodeling ; FOWT ; multi-segmented mooring line ; inclined columns ; semi-submersible ; AFWT ; floating offshore wind turbine (FOWT) ; pitch-to-stall ; blade back twist ; tower fore–aft moments ; negative damping ; blade flapwise moment ; tower axial fatigue life ; wave energy ; oscillating water column ; tank testing ; valves ; air compressibility ; air turbine ; wave-to-wire model ; energy harnessing ; energy converter ; flow-induced oscillations ; vortex-induced vibration ; flow–structure interaction ; hydrodynamics ; vortex shedding ; cylinder wake ; tidal energy ; site assessment ; wave-current interaction ; turbulence ; integral length scales ; wave-turbulence decomposition ; OWC ; wave power converting system ; parametric study ; caisson breakwater application ; floating offshore wind turbines ; frequency domain model ; semisubmersible platform ; 10 MW wind turbines ; large floating platform ; platform optimization ; wind energy ; floating offshore wind turbine ; dynamic analysis ; fatigue life assessment ; flexible power cables ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 5
    Publication Date: 2024-04-11
    Description: This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.
    Keywords: TA1-2040 ; T1-995 ; rough sets ; interval type-2 fuzzy set (IT2FS) ; resources distribution ; the criteria of the weights ; public management ; Step-wise Weight Assessment Ratio Analysis (SWARA) ; multi-criteria decision-making (MCDM) ; symmetry of the method ; quadcopter ; transaction cost ; full fuzzy environment ; dual generalized geometric Bonferroni mean (DGGBM) operator ; data logger ; information theory ; control system ; salvage value ; nonlinear dynamics ; pattern formation ; oscillations ; stability ; Pythagorean fuzzy set ; FAHP ; fuzzy sets ; group decision-making ; generalized Bonferroni mean (GBM) operator ; probabilistic systems analysis ; economic decisions ; 2-tuple linguistic neutrosophic numbers set (2TLNNSs) ; evaluating the quality of distant courses ; subjective weights ; Z-numbers ; green supplier selection ; dual generalized Bonferroni mean (DGBM) operator ; normal cloud ; thrust ; sensor ; neutrosophic numbers ; MCDM ; Bayes’ theorem ; optimal dividend ; logistics ; measurement ; hybrid MCDM ; combining the weights ; data envelopment analysis ; criteria weights ; multiple attribute decision making (MADM) ; IDOCRIW ; excess-of-loss reinsurance ; fuzzy efficiency ; multiple-criteria decision-making (MCDM) ; MCGDM ; transport ; backward cloud transformation ; engineering problems ; rough ARAS ; capital injection ; performance ; Bonferroni mean (BM) operator ; green supply chain management ; population sizes ; hybrid problem solution models ; criteria weight assessment ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.
    Keywords: TA1-2040 ; T1-995 ; container ; fog computing ; virtual reality ; privacy and security ; software defined infrastructure ; intelligent medical service ; very long instruction word (VLIW) ; semantics ; privacy leakage detection ; context information ; post-copy ; ontology ; body area network ; DSP ; Internet-of-Things ; Mobile Device Management ; interoperability ; Android ; water consumption ; Processing-in-Memory ; performance analysis ; semantic ; mobility ; data management ; CRIU ; training simulator ; Industry 4.0 ; sensor networks ; experimental evaluation ; programming paradigm ; pre-copy ; microservice-oriented platform ; CubeSats ; middleware ; registry ; smart metering ; big data analytics ; nanosatellites ; medium access control ; Internet of Things ; heterogeneity ; web-of-things ; one-to-one computing educational program ; Web-of-Things ; internet of things ; instruction set extension ; microservices architecture ; migration ; behaviour ; wireless access networks ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Research on radiation-tolerant electronics has increased rapidly over the past few years, resulting in many interesting approaches to modeling radiation effects and designing radiation-hardened integrated circuits and embedded systems. This research is strongly driven by the growing need for radiation-hardened electronics for space applications, high-energy physics experiments such as those on the Large Hadron Collider at CERN, and many terrestrial nuclear applications including nuclear energy and nuclear safety. With the progressive scaling of integrated circuit technologies and the growing complexity of electronic systems, their susceptibility to ionizing radiation has raised many exciting challenges, which are expected to drive research in the coming decade. In this book we highlight recent breakthroughs in the study of radiation effects in advanced semiconductor devices, as well as in high-performance analog, mixed signal, RF, and digital integrated circuits. We also focus on advances in embedded radiation hardening in both FPGA and microcontroller systems and apply radiation-hardened embedded systems for cryptography and image processing, targeting space applications.
    Keywords: TA1-2040 ; TK1-9971 ; T1-995 ; single event effects ; n/a ; radiation-hardening-by-design (RHBD) ; frequency divider by two ; single event upset ; Image processing ; CMOS analog integrated circuits ; FPGA ; total ionizing dose (TID) ; Impulse Sensitive Function ; soft error ; hardening by design ; radiation hardening by design ; X-rays ; Single-Event Upsets (SEUs) ; line buffer ; heavy ions ; VHDL ; FPGA-based digital controller ; radiation hardening by design (RHBD) ; radiation hardening ; SRAM-based FPGA ; proton irradiation ; ring oscillator ; sensor readout IC ; fault tolerance ; space application ; physical unclonable function ; voltage controlled oscillator (VCO) ; Ring Oscillators ; analog single-event transient (ASET) ; single event opset (SEU) ; SEB ; single event upsets ; bipolar transistor ; total ionizing dose ; protons ; triple modular redundancy (TMR) ; gain degradation ; space electronics ; saturation effect ; configuration memory ; Co-60 gamma radiation ; total ionization dose (TID) ; frequency synthesizers ; CMOS ; PLL ; TDC ; single-event upsets (SEUs) ; bandgap voltage reference (BGR) ; 4MR ; single-shot ; error rates ; Radiation Hardening by Design ; soft errors ; heavy-ions ; single-event effects (SEE) ; single event transient (SET) ; SEE testing ; proton irradiation effects ; RFIC ; single event upset (SEU) ; FMR ; ionization ; radiation tolerant ; triplex–duplex ; neutron irradiation effects ; digital integrated circuits ; single event gate rupture (SEGR) ; power MOSFETs ; ring-oscillator ; selective hardening ; voltage reference ; nuclear fusion ; TMR ; gamma-rays ; gamma ray ; instrumentation amplifier ; radiation effects ; reference circuits ; radiation-hardened ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).
    Keywords: TA1-2040 ; T1-995 ; NSGA-II ; wind force ; wavelet packet decomposition ; structural health monitoring ; amplitude spectrum ; environmental noise ; patch antenna ; damage identification ; event-triggered sensing ; Particle Swarm Optimization (PSO) algorithm ; high-speed train ; low-velocity impacts ; concrete structures ; sensors distribution optimization ; acceleration ; digital sampling moiré ; crack ; displacement sensor ; length effect ; FBG sensor array ; SHM ; space window ; Bayesian blind source separation ; feature selection ; stress detection ; wheel minor defect ; strain ; uniaxial stress measurement ; turbine ; impact identification ; helical antenna ; energy analysis of wavelet band ; strain wave ; time window ; structural steel members ; steel frame ; acoustoelastic effect ; demand-based nodes ; online wayside detection ; sensor ; bridge ; sensitivity ; acoustic emission ; bending stiffness ; wireless smart sensors ; distributed dense sensor network ; mapping construction ; data fusion ; fuzzy classification ; shear-wave birefringence ; normal mode ; piezoelectric wafer active sensors ; resonant frequency ; electromagnetic oscillation ; settlement ; sensor optimization ; modal frequencies ; perturbation theory ; feature extraction ; Virtual Distortion Method (VDM) ; reflective optical sensor ; fibre bundle ; smartphones ; crack identification ; active sensing ; test vehicle ; calibration ; stretching method ; model updating ; rotary ultrasonic array ; 2D crack growth ; data processing ; damage detection ; impactor stiffness ; tip clearance ; transmission tower ; phase spectrum ; concrete crack ; structural impact monitoring ; shaking table tests ; optical crack growth sensor ; steel strand ; passive sensing ; sudden event monitoring ; aero engine ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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