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Describes the construction of a task-oriented configuration structure in the cellular robotic system as a three-dimensional self-organizing robot by using genetic algorithms (GAs). To deal with the… (More)
In this paper, we describe the dependence of an initial state in a self-organizing robot on an optimal structure configuration, where a “fractum” is used as a basic unit. Each robot operates on a… (More)
Abstract We propose an improved backpropagation algorithm intended to avoid the local minima problem caused by neuron saturation in the hidden layer. Each training pattern has its own activation… (More)
This paper proposes a new recurrent neural network and the learning algorithm using time series and steady-state characteristics of nonlinear dynamic systems. Recurrent neural networks are often… (More)
Abstract A hierarchical structure for the control of a dynamical biped locomotion robot is presented. High gain local feedbacks at the articular joints for making the biped locomotion robust are… (More)