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This paper proposes a methodology based on Inertial Measurement Units (IMU's) and sensor fusion for the trajectory tracking performed by a human expert, estimating orientation in two dimensions and position in three dimensions. In addition, involving modeling of robot manipulators and the acquired trajectory, a kinematic control is generated for the robot programming. Experimental results have shown...
In this paper is presented a form to govern a swarm of robots using only two parameters for repulsion and attraction. Behavior of the swarm is first simulated using kinematic models of differential vehicles then an implementation of a pack of five robots is made. As a results, it is evident in simulations and implementations that changing repulsion and attraction parameters can change the behavior...
This article an evolutionary robot is implemented with the aim to stand upright and level as possible. Evolutionary Robots are characterised by performing automated tasks trying to reach an objective function, which is the key to good performance. The evolution of the system is made possible by a genetic algorithm, which based on natural biological evolution process, achieved through several generations...
Mobile robot simulation is a valuable tool for education, research and design purposes. The last decade has seen a considerable increase in the development of new software tools for mobile robot simulation, all of which have reached different levels of maturity. This paper presents a survey of the existing tools and discusses their strengths and drawbacks in terms of simplicity, flexibility, fields...
This paper presents a novel approach for real-time mobile robot localization in structured indoor environments. The proposed method takes advantage of the available structural information by implementing a Monte Carlo Localization strategy over a map of line segments rather than a grid-based map, thus allowing for speed improvements. Another novel aspect is in the likelihood function, which is based...
This paper presents a simple approach to detect people using an 8times1 thermopile array sensor. The performance of the sensor is evaluated in terms of detection rates and false positives obtained in the application of the sensor to people counting at doorways and pedestrian detection from a mobile robot in a real environment. To ensure that people is detectable regardless of the ambient temperature,...
This paper presents a recognition method for natural images based on color texture histograms in the context of image interpretation and scene modeling. A color histogram of sums and differences is proposed to obtain texture features which are faster to compute than correlograms ( i.e., colored version of co-occurrence matrices) and improving substantially object recognition. Outdoor natural images...
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