Abstract
The paper presents Intelligent Control Interfaces (ICIs) for real-time control for terrestrial mobile robots or unmanned aerial robots in order to improve the navigation performances. Intelligent control interfaces using advanced control strategies adapted to robot environment are presented, implemented through IT & C techniques with fast processing and real-time communications in order to develop a versatile, intelligent and portable VIPRO Platform with behavior of e-learning platform, which allows achievement inter-academic research networks and building new intelligent vectors robots. Implementation of ICIs laws in the intelligent real time control interfaces depends on the particular circumstances of the characteristics model used and the exact definition of optimization problem. The results led to the development of the ICI interfaces through image analysis using Images Operation Sampling & Quantization (IOSQ).
Highlights
The field of robotics studies the interaction between perception and action, and robots are devices capable of performing similar activities to people
IMAGE PROCESSING FOR AUTONOMOUS NAVIGATION ROBOTS A starting point in developing an autonomous navigation robots imaging interface that should be considered is the images we normally take with our cameras
One of the problems developed using the Images Operation Sampling & Quantization (IOSQ) Intelligent Control Interfaces (ICIs) interface is saturation, if a very dark region and a very open region are present at the same time, when an area is saturated, it will look white because all its values are equal to 255
Summary
The field of robotics studies the interaction between perception and action, and robots are devices capable of performing similar activities to people. IMAGE PROCESSING FOR AUTONOMOUS NAVIGATION ROBOTS A starting point in developing an autonomous navigation robots imaging interface that should be considered is the images we normally take with our cameras. A regular camera is a two-dimensional array composed of these sensors, which is the sensor grid arrange in a square or rectangle, as shown, followed by sampling, spatial meshing and amplitude meshing by quantifying the gray values.
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