High Tc SQUID sensor system for non-destructive evaluation

Kallias, G.; Devlin, E.; Christides, C.; Niarchos, D.

doi:10.1016/s0924-4247(00)00428-3

Cited by 8 publications

(8 citation statements)

References 13 publications

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“…In this regard, a quantum sensor is a kind of microstructural sensor, that is designed by applying quantum effect. To detect faint classical signals (external stimulus), as presented in [12], two types of quantum sensors, superconduction quantum interference device sensor [14] and quantum well Hall sensor [15] can be considered. The EC transforms and controls the quantum emotion signal using quantum operators, i.e., quantum gates.…”

Section: Quantum Framework Of Affective Computingmentioning

confidence: 99%

Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

Yan¹,

Iliyasu²,

Hirota³

2020

Preprint

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This study presents a modest attempt to interpret, formulate, and manipulate emotion of robots within the precepts of quantum mechanics. Our proposed framework encodes the emotion information as a superposition state whilst unitary operators are used to manipulate the transition of the emotion states which are recovered via appropriate quantum measurement operations. The framework described provides essential steps towards exploiting the potency of quantum mechanics in a quantum affective computing paradigm. Further, the emotions of multi-robots in a specified communication scenario are fused using quantum entanglement thereby reducing the number of qubits required to capture the emotion states of all the robots in the environment, and fewer quantum gates are needed to transform the emotion of all or part of the robots from one state to another. In addition to the mathematical rigours expected of the proposed framework, we present a few simulation-based demonstrations to illustrate its feasibility and effectiveness. This exposition is an important step in the transition of formulations of emotional intelligence to the quantum era.

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Section: Quantum Framework Of Affective Computingmentioning

confidence: 99%

Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

Yan¹,

Iliyasu²,

Hirota³

2020

Preprint

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“…Mu-metal is very expensive [26]. Mu-metal is already proven to be of high quality, able to shield magnetic interference from other sources [27]- [29]. Hence, other materials with high permeability shall be investigated to get the least expensive, yet with acceptable high permeability.…”

Section: Mobility Obstacle Avoidancementioning

confidence: 99%

Autonomous Mobile Robot: Path Planning Using Backward Chaining

Nawi

Rahim

2008

Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Sc

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This project concerns the design and fabrication of the Autonomous Mobile Robot (AMR) prototype, utilizing backward chaining as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. Further explanation of backward chaining is included. The main objective of this project is to create and develop a Path Planning Mobile Robot able to avoid obstacles in its path and reach a target designated position from its starting point utilizing 4 wheel-based rover body, sensors, linear motors and microcontrollers. The paper describes the design process of the AMR development, from the initiation of idea to development of algorithms, to virtual prototype development of AMR mechanisms and controller board, to fabrication, to mobility, obstacle avoidance and path planning test. Two methods of path planning are presented, using compass bearing in undetermined space and predetermined path. Obstacle avoidance and path planning algorithms has been tested using the completed design of AMR body.

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“…A quantum sensor is a kind of microstructure sensor, which is designed by applying quantum effect. To detect faint classical signals, two kinds of quantum sensors, superconduction quantum interference device (SQUID) sensor 13,14 and quantum well Hall sensor, 15,16 can be used in a quantum robot.…”

Section: Ii3 Information Acquisition Unitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Since quantum robot applies quantum effect, it solves the difficulties resulting from micromation. Moreover, the performance of sensors can be improved through equipping quantum robot with quantum sensors [12][13][14][15][16], and the speed of robot learning and behavior decision can be increased using powerful parallel computing, fast searching ability and efficient learning of quantum algorithms.The organization of this paper is as follows. Section 2 presents a system structure of quantum robot and describes the functions of three fundamental parts including MQCU, quantum controller/actuator and information acquisition units.…”

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confidence: 99%

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Quantum robot: structure, algorithms and applications

Dong¹,

Chen²,

Zhang³

et al. 2006

Robotica

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A kind of brand-new robot, quantum robot, is proposed through fusing quantum theory with robot technology. Quantum robot is essentially a complex quantum system and it is generally composed of three fundamental parts: MQCU (multi quantum computing units), quantum controller/actuator, and information acquisition units. Corresponding to the system structure, several learning control algorithms including quantum searching algorithm and quantum reinforcement learning are presented for quantum robot. The theoretic results show that quantum robot can reduce the complexity of O( 2 N ) in traditional robot to O( N N ) using quantum searching algorithm, and the simulation results demonstrate that quantum robot is also superior to traditional robot in efficient learning by novel quantum reinforcement learning algorithm.Considering the advantages of quantum robot, its some potential important applications are also analyzed and prospected. IntroductionThe naissance of robots and the establishment of robotics is one of the most important achievements in science and technology field in the 20 th century [1][2][3]. With the advancement of technology [4][5][6][7][8], robots are serving the community in many aspects, such as industry production, military affairs, national defence, medicinal treatment and sanitation, navigation and spaceflight, public security, and so on. Moreover, some new-type robots such as nanorobot, biorobot and medicinal robot also come to our world through fusing nanotechnology, biology and medicinal engineering into robot technology.As viewed from the development tide of robots, intelligentization and micromation are two important directions. The key of intelligentization lies in improving the performance of sensors and increasing the speed of learning and behavior decision, and ceaseless micromation will consequentially bring on the occurrence of quantum effect. So many difficulties must be solved from some new angles.On the other hand, as one of the most resplendent achievements in the 20 th century, quantum theory is more rapidly developing. Especially, many results of quantum information technology have shown that quantum computer can effectively increase efficiency for solving some important classical problems and it even can solve some hard problems that classical computer can't solve; quantum communication can realize high-precision secrecy communication and increase capacity of channel [9]. So manipulation of quantum systems and applications of quantum effect become a most important research point for many scientists. Here, we consider the fusion of quantum theory and robot technology, and use quantum system to construct a new-type robot-quantum robot. The conception of quantum robot has been presented from physics by Benioff in 1998 [10,11], where he emphasized the importance of quantum computer in quantum robot and the quantum robot isn't aware of its environment, doesn't make decisions, doesn't carry out experiments or make measurement. However, we give a structure of quantum robot from engineer...

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High Tc SQUID sensor system for non-destructive evaluation

Cited by 8 publications

References 13 publications

Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

Autonomous Mobile Robot: Path Planning Using Backward Chaining

Quantum robot: structure, algorithms and applications

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