Search Results - "Pipe, A.G."

Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach by Pearson, M.J., Pipe, A.G., Mitchinson, B., Gurney, K., Melhuish, C., Gilhespy, I., Nibouche, M.

“…In this paper, we present two versions of a hardware processing architecture for modeling large networks of leaky-integrate-and-flre (LIF) neurons; the second…”
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Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles by Lenz, A., Anderson, S.R., Pipe, A.G., Melhuish, C., Dean, P., Porrill, J.

“…In this paper, a model of cerebellar function is implemented and evaluated in the control of a robot eye actuated by pneumatic artificial muscles. The…”
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Whisking with robots by Prescott, T.J., Pearson, M.J., Mitchinson, B., Sullivan, J.C.W., Pipe, A.G.

“…This article summarizes some of the key features of the rat vibrissal system, including the actively controlled sweeping movements of the vibrissae known as…”
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An online robot trajectory planning and programming support system for industrial use by Kohrt, C., Stamp, R., Pipe, A.G., Kiely, J., Schiedermeier, G.

“…The manufacturing industry today is still looking for enhancement of their production. Programming of articulated production robots is a major area for…”
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Introduction: Genetic fuzzy systems by Carse, B., Pipe, A.G.

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Beat gesture generation rules for human-robot interaction by Bremner, P., Pipe, A.G., Fraser, M., Subramanian, S., Melhuish, C.

“…In order for anthropomorphic robots to communicate with people in a human-like way they need to produce gestures along with speech. Beat gestures are a key…”
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Fuzzy classifier system architectures for mobile robotics: An experimental comparison by Pipe, A.G., Carse, B.

“…We present an experimental comparison between two approaches to optimization of the rules for a fuzzy controller. More specifically, the problem is autonomous…”
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Design innovation for real world applications, using evolutionary algorithms by Benkhelifa, E., Dragffy, G., Pipe, A.G., Nibouche, M.

“…This paper discusses two important features of electronic design through evolutionary processes; creativity and innovation. Hence, conventional design…”
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A Hardware Based Implementation of a Tactile Sensory System For Neuromorphic Signal Processing Applications by Pearson, M., Nibouche, M., Gilhespy, I., Gurney, K., Melhuish, C., Mitchinson, B., Pipe, A.G.

“…The implementation of a tactile sensory system for neuromorphic signal processing applications is presented. It has been developed by modelling the structure…”
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An evolutionary optimisation approach to motor learning with first results of an application to robot manipulators by Sullivan, J.C.W., Pipe, A.G.

“…We review optimisation approaches to the problems of motor control, specifically the ill-posed problem of trajectory planning for a redundant planar…”
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Knowledge based and adaptive computational techniques for concurrent design of powder metallurgy parts by Cherian, R.P, Midha, P.S, Smith, L.N, Pipe, A.G

“…The practice of concurrent engineering (CE) is adopted widely to facilitate integrated design and manufacture by industry in order to maintain competitiveness…”
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Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts by Cherian, R. P., Midha, P.S., Pipe, A.G.

“…A neural network based system is presented in this paper for modelling mechanical behaviour of powder metal parts as a function of processing conditions. The…”
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An architecture for building "potential field" cognitive maps in mobile robot navigation by Pipe, A.G.

“…This paper describes a fresh interpretation of, and experimental modifications to, an architecture which has arisen from the author's previous work (1997). The…”
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A topological map based navigation system for mobile robotics by Pipe, A.G., Carse, B., Winfield, A.

“…We discuss two forms of cognitive map which are commonly used in mobile robotics when navigation requirements and environmental conditions make them…”
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Parallel evolutionary learning of fuzzy rule bases using the island injection genetic algorithm by Carse, B., Pipe, A.G., Davies, O.

“…In this paper the island injection genetic algorithm (iiGA) is applied to the evolutionary design of fuzzy rule bases. The iiGA is a parallel GA in which a…”
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Path planning for redundant robot manipulators: a global optimization approach using evolutionary search by Sullivan, J.C.W., Pipe, A.G.

“…Global optimization approaches to path planning for kinematically redundant manipulators, involving the optimization of integral cost criteria have been shown…”
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Stable on-line learning neuro-control of an industrial manipulator by Pipe, A.G., Jin, Y.

“…We apply our on-line learning neural network approach to joint level trajectory control of an industrial welding robot. This application demonstrates the…”
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Nonholonomic Motion Planning by Means of Particles by Kohrt, C., Schiedermeier, G., Pipe, A.G., Kiely, J., Stamp, R.

“…In this article a new approach to planning of a nonholonomic motion is presented. A flexible, intelligent planner based on a static map and the topology of the…”
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Stable online neural control of hexapod joint trajectories by Randall, M.J., Pipe, A.G., Winfield, A.F.T.

“…We describe our initial results from the first phase of an investigation into online adaptive neural control of hexapod walking robot's leg trajectories. In…”
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A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination by Pearson, M., Nibouche, M., Pipe, A.G., Melhuish, C., Gilhespy, I., Mitchison, B., Gurney, K., Prescott, T., Redgrave, P.

“…Both a FPGA implementation of a rodent's tactile sensory system and a neural FPGA based hardware processor, mimicking the brainstem behaviour are presented…”
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