control and actuation are the most important factors that determine the performance of traditional electromechanical robots. Bio-syncretic actuators are a potential trend for the next generation of robots to overcome ...
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the ripening information of tomato fruit in greenhouse environment is closely related to production operation. Currently, greenhouse tomato ripening information is mainly carried out by manual inspection. In this pape...
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the Proceedings of the 1996 IEEE internationalconference on Fuzzy Systems contains 112 papers. the main topics of the conference are the following: theory and application of fuzzy control, intelligent control and exp...
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the Proceedings of the 1996 IEEE internationalconference on Fuzzy Systems contains 112 papers. the main topics of the conference are the following: theory and application of fuzzy control, intelligent control and expert systems;development of fuzzy controllers;usage of fuzzy logic in robotics and medical monitoring;problems of fuzzy pattern recognition;fuzzy sets theory and foundations;design of computer hardware using fuzzy logic.
this paper proposes a parallel hybrid metaheuristic-based scheduling system for the Single Machine Scheduling Problem, with a High-level Relay Hybrid structure. A genetic algorithm performs the diversification phase o...
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Due to its significant contribution to global energy consumption and the associated share of carbon emissions, the construction sector is a crucial part of energy efficiency and environmental plans and efforts. these ...
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this article presents the results of developing a model for assessing water quality using the artificial intelligence method. the presented model is based on linear regression, which, when evaluated, revealed a statis...
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6D pose estimation is the committed step of autonomous docking of underwater vehicles using executive guidance, and it is also an important research topic in recent years. this method provides RGB images and CAD model...
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the purpose of this paper is to analyze the stability of Passive Dynamic Walking using an approximate analytical Poincaré map of the impact point, which is the state of walking robot at the collision between a sw...
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In this paper we focus on the problem of Simultaneous Localization and Mapping (SLAM) using visual information obtained from the environment. In particular, we propose the use of a single omnidirectional camera to car...
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ISBN:
(纸本)9789898565211
In this paper we focus on the problem of Simultaneous Localization and Mapping (SLAM) using visual information obtained from the environment. In particular, we propose the use of a single omnidirectional camera to carry out this task. Many approaches to visual SLAM concentrate on the estimation of the position of a set of 3D points, commonly denoted as visual landmarks which are extracted from images acquired at the environment. thus the complexity of the map computation grows as the number of visual landmarks in the map increases. In this paper we propose a different representation of the environment that presents a series of advantages compared to the before mentioned approaches, such as a simplified computation of the map and a more compact representation of the environment. Concretely, the map is represented by a set of views captured from particular places in the environment. Each view is composed by its position and orientation in the map and a set of 2D interest points represented in the image reference frame. thus, in each view the relative orientation of a set of visual landmarks is stored. During the map building stage, the robot captures an image and finds corresponding points between the current view and the views stored in the map. Assuming that a set of corresponding points is found, the transformation between both views can be computed, thus allowing us to build the map and estimate the pose of the robot. In the suggested framework, the problem of finding correspondences between views is troublesome. Consequently, withthe aim of performing a more reliable approach, we propose a new method to find correspondences between two omnidirectional images when the relative error between them is modeled by a gaussian distribution which correlates the current error on the map. In order to validate the ideas presented here, we have carried out a series of experiment in a real environment using real data. Experiment results are presented to demonstrate the validi
Potential function based methods play significant role in both global and local path planning. While these methods are characterized with good reactive behaviour and implementation simplicity, they suffer from a well-...
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ISBN:
(纸本)9783030112929;9783030112912
Potential function based methods play significant role in both global and local path planning. While these methods are characterized with good reactive behaviour and implementation simplicity, they suffer from a well-known problem of getting stuck in local minima of a navigation function. In this paper we propose a modification of our original spline-based path planning algorithm for a mobile robot navigation, which succeeds to solve local minima problem and considers additional criteria of start and target points visibility to help optimizing the path selection. We apply a Voronoi graph based path as an input for iterative multi criteria optimization algorithm and present a path finding strategy within different homotopies that uses the new method. the algorithm was implemented in Matlab environment and demonstrated significantly better results than the original approach. the comparison was based on success rate, number of iterations and running time of the algorithms. In total, several thousands tests were performed in 18 different simulated environments.
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