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Article
Computer Science, Information Systems
Abdullah Lakhan et al.
Summary: With the emerging developments in sports games, there has been a progressive increase in the usage of bio-ankle sensors. The Internet of Medical Things (IoMT) is an emerging network that enhances the performance of bio-inspired sensors in the fog-cloud network. However, workflow-enabled bio-inspired sensors tasks in IoMT face challenges such as cost-efficient scheduling, security, and data validation in distributed hospitals. This paper proposes bio-inspired robotics-enabled schemes in the blockchain-fog-cloud-assisted IoMT environment, aiming to minimize execution cost and blockchain of applications. The simulation results demonstrate significant cost reductions compared to existing bio-inspired healthcare systems.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Physics, Multidisciplinary
Isidore Komofor Ngongiah et al.
Summary: This paper successfully mimics the motion of myriapods by using a combination of mechanical arms and neural circuits. Through numerical simulations, it is found that the neural circuits can be coupled to the mechanical arms and exhibit different states of motion. The communication between neurons does not lose amplitude when they are in the excitable state, similar to the motion of the mechanical legs.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2023)
Article
Physics, Multidisciplinary
Janarthanan Ramadoss et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Chemistry, Analytical
H. Duoc Nguyen et al.
Summary: Biohybrid systems combine living materials with synthetic devices, enabling the use of both organic and artificial advantages in one entity. In the context of centimeter-scaled mobile robots for unstructured terrain navigations, biohybrid systems offer potential solutions through the fusion of living insects and miniature electronic devices. Despite their ability to be controlled through electrical stimulation, the hybrid systems still benefit from the insects' exceptional locomotory skills, making them suitable for complex terrains. However, achieving efficient autonomous navigation remains challenging.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Computer Science, Artificial Intelligence
Akhil Bonagiri et al.
Summary: The development of nonlinear dynamical electronic devices and circuits has made it possible to implement energy-efficient hardware realizations of neurobiological systems. Central pattern generator (CPG) is a neural system that controls rhythmic motor behaviors in animals. A compact and energy-efficient hardware platform for implementing neuromorphic CPGs would greatly benefit bio-inspired robotics. In this study, we demonstrate that four capacitively coupled VO2 memristor-based oscillators can produce spatiotemporal patterns corresponding to quadruped gaits and show similarities to conductance-based neuron models.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Review
Robotics
Moh Shahid Khan et al.
Summary: This review article discusses the challenges in biped gait generation and controller design on various terrains, and provides a comprehensive compilation of research work in this area. The authors found that no single study has examined the gait generation and controller design for each joint of biped robots on different terrains. The review aims to help researchers better understand the concepts of gait generation and controller design while moving on various terrains.
Article
Physics, Applied
Mohammad Hamdipour
Summary: This study investigates the nonlinear dynamics of an array of three capacitively-coupled Josephson junctions, considering the model of superconductor/insulator/superconductor (SIS) junctions as a representation of high temperature superconductors with layered structure. The research introduces 2D bifurcation diagrams for these junctions, showcasing the current voltage characteristics and the chaos in the breakpoint region (BPR) of the system. The study also explores the effects of varying the coupling factor and the beta parameter related to dissipation on the bifurcation diagrams.
PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS
(2022)
Article
Physics, Applied
Paul Brookes et al.
Summary: Symmetry considerations play a crucial role in understanding the fundamental laws of nature and can protect quantum information from relaxation and decoherence.
PHYSICAL REVIEW APPLIED
(2022)
Article
Computer Science, Hardware & Architecture
Yong Cui et al.
Summary: In recent years, Human-Robot Interaction (HRI) has emerged as an innovative area of research and development in the field of robotics. The aim of HRI research is to understand, design, and evaluate robotic systems intended for human use. This study introduces a student engagement prediction model using HRI (SEPM-HRI) in higher education, which demonstrates high accuracy and interaction ratio.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Physics, Applied
S. Yu Grebenchuk et al.
Summary: In this study, we investigate arrays of planar Nb Josephson junctions with contacts to intermediate electrodes. Our findings demonstrate the complexity of array dynamics and reveal a strong interjunction interaction. The results show that planar geometry offers significant advantages for coherent Josephson electronics.
PHYSICAL REVIEW APPLIED
(2022)
Review
Physics, Multidisciplinary
Isidore Komofor Ngongiah et al.
Summary: This paper discusses the theoretical analysis and microcontroller implementation of resistive-capacitive shunted Josephson junction (JJ) with unharmonic current-phase relation. The rate equations describing the system under study exhibit different numbers of equilibrium points, and their stability is investigated. The hysteresis of current-voltage characteristics in resistive-capacitive shunted JJ with unharmonic current-phase relation is highly sensitive to the unharmonic parameter. The system exhibits various oscillation modes and chaotic attractors, which are dependent on the modulation and unharmonic parameters.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Ameer Tamoor Khan et al.
Summary: This paper introduces a model-free tracking controller for cooperative mobile-manipulators in smart homes, utilizing an optimization-driven approach and a novel algorithm called ZNNBAS. The algorithm is proven to be stable and efficient in achieving accurate and robust task completion for the mobile-manipulators.
Article
Physics, Condensed Matter
Noel Freddy Fotie Foka et al.
Summary: This paper investigates the dynamical features and digital implementation of a microcontroller Josephson junction neuron model driven by a thermal signal. The hysteresis loop appearances are strongly temperature and voltage source dependent, and various oscillation patterns in neural activities are found through numerical analysis. By discussing the findings and their physical implications, the study provides insights into the behavior of the system.
EUROPEAN PHYSICAL JOURNAL B
(2021)
Article
Multidisciplinary Sciences
Armin Wedler et al.
Summary: The Moon is currently a focus of interest for many space agencies for potential unmanned robotic missions within this decade. Besides supporting human space flight, the Moon is also seen as an attractive site for scientific research. The research conducted on the Moon can provide valuable insights into the Solar System and offer a unique vantage point for observing the Sun and planetary bodies beyond our solar system.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Physics, Applied
Uday S. Goteti et al.
Summary: In this work, a fully coupled randomly disordered recurrent superconducting network is introduced as a new architecture for neuromorphic computing. The network is designed around disordered array synaptic networks using superconducting devices, enabling unsupervised learning and taking advantage of power efficiency, propagation speed, and scalability. Further, individual disordered array neural networks can be coupled together to form a hierarchical architecture of recurrent neural networks, similar to a biological brain.
JOURNAL OF APPLIED PHYSICS
(2021)
Article
Physics, Multidisciplinary
Janarthanan Ramadoss et al.
Summary: This paper explores the dynamical behavior of single and network Josephson junction (JJ) models with cosine interference term (CIT). It is found that the presence of CIT changes the stability of equilibrium points and transitions the system from regular spiking and intrinsic bursting to periodic bursting. JJ circuit model with CIT exhibits bistable periodic attractors, periodic attractors, hidden chaotic attractors, and coexisting attractors during numerical simulations.
Article
Computer Science, Artificial Intelligence
Phil Husbands et al.
Summary: This paper explores the current developments in evolutionary and bio-inspired approaches to autonomous robotics, with a focus on research conducted at the University of Sussex. It discusses how embodied dynamics can be exploited to create behaviors in robotic systems. Case studies include evolving electronic circuits for robot controllers, navigation methods inspired by insects, neuromechanical chaos for motor behaviors, and brain-body-environment interactions for efficient flapping winged flight.
APPLIED INTELLIGENCE
(2021)
Article
Chemistry, Analytical
Denis Crete et al.
Summary: Arrays of superconducting quantum interference devices (SQUIDs) are highly sensitive magnetometers that can measure absolute magnetic fields with dynamic range scaling as the number of SQUIDs they contain. However, the layout of the arrays can impact the symmetry required for eliminating adverse self-field effects, requiring a design for partial compensation of the self-field. Additionally, arrays of long Josephson junctions may outperform arrays of SQUIDs depending on the technology used.
Article
Construction & Building Technology
Piyush Pradhananga et al.
Summary: The construction industry faces various challenges in adopting robotics, such as labor shortage, low productivity, and high material wastage. However, there is currently limited research and understanding of the barriers to integrating robotics, hindering its mainstream adoption and necessitating further exploration and solutions to promote the use of robotic technology in construction.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Review
Robotics
Pierre E. Dupont et al.
Summary: Robotics is a forward-looking discipline, and this article reviews the eight key research themes in medical robotics over the past decade, hoping to foster an entrepreneurial spirit in researchers to reduce the widening gap between research and translation.
Article
Computer Science, Information Systems
Marta Bistron et al.
Summary: This paper examines the current and future prospects of artificial intelligence algorithms in both military and civilian applications, discussing their use in cybersecurity, object detection, military logistics, and robotics. It also delves into ethical concerns and issues of responsibility surrounding the application of AI.
Article
Robotics
Elliot W. Hawkes et al.
Summary: The establishment of a new academic field like soft robotics requires meaningful contributions beyond the surface level softness. By proposing a three-tiered categorization grounded in historical examples, researchers can guide their studies towards higher levels of impact in robotics and engineering. Self-reflection and a focus on quantitative superiority are essential for soft robotics to become a transformative field in the next decade.
Article
Physics, Multidisciplinary
Yin Zhang et al.
Summary: Josephson junction is an active electric component that can adjust channel current by external magnetic field, used to excite neural circuit for generating target firing patterns. This paper explores the potential application of Josephson junction in nonlinear circuits by connecting it to a simple neural circuit for sensing external magnetic field.
CHINESE JOURNAL OF PHYSICS
(2021)
Article
Physics, Applied
Balamurali Ramakrishnan et al.
Summary: This paper investigates the controls of chaotic and coexisting attractors and collective dynamics in the linear resistive-capacitive-inductive shunted Josephson junction (LRCISJJ) model. A single feedback controller is designed to control chaos in the LRCISJJ model, and analytical calculations along with numerical simulations demonstrate the effectiveness of this controller. Furthermore, the coexistence between chaotic and limit cycle attractors is disrupted and controlled using the linear augmentation control method. Additionally, a 2D lattice array of the LRCISJJ model is utilized to study network behaviors, such as spiral wave formation in the presence of heterogeneity, and excitability heterogeneity in the network is confirmed through the periods of each node showing periodicity patterns.
JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM
(2021)
Review
Mathematics, Applied
Arindam Mishra et al.
Summary: Researchers have observed similarities between the spiking and bursting behaviors of superconducting Josephson junctions with that of neurons. Recent studies have also shown similar neuronal functional behavior in superconducting nanowires. The history of this research highlights the origins and dynamic interpretations of these phenomena.
Article
Physics, Applied
N. M. Kouami et al.
PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS
(2020)
Article
Physics, Applied
Sifeu Takougang Kingni et al.
JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM
(2019)
Article
Mathematics, Interdisciplinary Applications
Sifeu Takougang Kingni et al.
Editorial Material
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IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY
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