Pulsed Neural Networks
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Active acquisition of 3d map in robot brain by combining motion and perceived images
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Control architecture for human friendly robots based on interacting with human
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
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This paper discusses a integrated perceptual system for intelligent control of a service robot. The robot should be able to perceive the environment flexibly to realize intelligent behaviors. We focus on the perceptual system based on the perceiving-acting cycle discussed in ecological psychology. We propose a perceptual system composed of the retinal model and the spiking-neural network to realize concept of the perceiving-acting cycle. The proposed method is applied to the robot arm equipped with a 3D-range camera. This proposed method features the robot detects the invariant information of a dish, for example the contrast of a distance Information or a luminance information. As experimental results, We show that the integrated perceptual system can adapt effectively in the dynamic environment.