RGB-D sensors triggered a rapid progress in the field of robot visual perception. A typical visual perception subsystem relies on finding the correspondences between features extracted from RGB-D images retrieved from...
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ISBN:
(纸本)9781509018666
RGB-D sensors triggered a rapid progress in the field of robot visual perception. A typical visual perception subsystem relies on finding the correspondences between features extracted from RGB-D images retrieved from robot sensors and models of objects. In this paper we introduce a multi-camera setup supplemented with an additional pattern projector used for registration of high-resolution images of objects. The objects are placed on a fiducial board with two dot patterns enabling robust extraction of masks of the placed objects and estimation of their initial poses. The acquired dense point clouds constituting subsequent object views undergo pairwise registration and at the end are optimized with a graph-based technique derived from SLAM. The combination of all those elements resulted in a system for generation of consistent 3D models of objects. We present details of the developed system and conclude the paper with discussion of the achieved results.
Robust estimation procedures make it possible to reduce the leverage of outliers on the measurement results. Application of the least median of squares (LMS) method to determine the calibration curves of measuring ins...
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ISBN:
(纸本)9781509018666
Robust estimation procedures make it possible to reduce the leverage of outliers on the measurement results. Application of the least median of squares (LMS) method to determine the calibration curves of measuring instruments involves the need to evaluate the obtained results. This paper proposes the method of estimating the variance of the LMS regression coefficients, which allows the evaluation of the quality of the set regression coefficients. The concept of an a priori estimation consists in performing an estimation before the measurement experiment. The a posteriori estimation uses the data from the previously conducted measurement experiment, thus making it possible to obtain much more accurate results compared with the a priori method. Simulation tests were carried out in order to compare the estimation results with the ones obtained in the course of the simulated experiment. The obtained results confirm that the proposed concepts are correct.
This article(1) presents the algorithms of calculations of the manipulation object coordinate position and orientation, for the planning movement of the robot Adept Six-300. Two cameras Edimax IC-7100P observe objects...
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ISBN:
(纸本)9781509018666
This article(1) presents the algorithms of calculations of the manipulation object coordinate position and orientation, for the planning movement of the robot Adept Six-300. Two cameras Edimax IC-7100P observe objects in the robot environment. To geometric calibration of these cameras it was used the original algorithm that does not require calculation of the projection matrix or fundamental matrix. Thanks to this used algorithm is faster and more accurate than methods with these arrays. The input of these algorithms are the coordinates of the characteristic points of the manipulation object, obtained by these two cameras. On the basis of these input data the coordinates of the position and orientation of the object seen by the cameras are calculated. For these coordinates the joint variables of the manipulator are calculated by means of the program that takes into account the singular configurations and that optimize a quality indicator. These variables describe the trajectory approaching of the gripper to the object, grasp and pick up it. All calculations are doing in external computer constituting a server that cooperates with cameras and robot controller, by means of the Ethernet.
This paper presents a new approach of a path planing algorithm applied in an indoor environment. Path planning or motion planning is an essential part of navigating mobile agents. The goal of path planning is to speci...
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In this study, a novel hierarchical global path planning approach for mobile robot navigation in a clutter environment is proposed. This approach has a three - level structure to obtain a feasible, optimal and safe pa...
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This paper presents a solution to the stability problem for a tri-wheel mobile robot with non-slip castor wheel. It is assumed that the robot is moving on a flat ground. The stability analysis is conducted for a nonho...
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This paper presents a solution to the stability problem for a tri-wheel mobile robot with non-slip castor wheel. It is assumed that the robot is moving on a flat ground. The stability analysis is conducted for a nonholonomic robot model by means of the Lyapunov's direct method.
The paper presents a method of echo azimuth angle estimation for ultrasonic range finders. The method is based on phase shift determination. Because of size of applied transducers it is not possible to determine the s...
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The paper presents a method of echo azimuth angle estimation for ultrasonic range finders. The method is based on phase shift determination. Because of size of applied transducers it is not possible to determine the shift in a direct way. This problem is discussed and error analysis is presented as well as some experimental results.
This paper is an extension of previous work, where authors developed a nonlinear model and its linear approximation of bicycle (or single track vehicle generally) with controlled moment gyro (CMG) used for stability a...
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This paper is an extension of previous work, where authors developed a nonlinear model and its linear approximation of bicycle (or single track vehicle generally) with controlled moment gyro (CMG) used for stability algorithm in vertical direction. Also, simple stability was proposed. This extension focuses on robustness of control.
In this paper properties of adaptive algorithms utilising ideas of stochastic gradient search optimisation applied to noise reduction are discussed. A focus on their average rate of convergence as well as on the obtai...
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In this paper properties of adaptive algorithms utilising ideas of stochastic gradient search optimisation applied to noise reduction are discussed. A focus on their average rate of convergence as well as on the obtained noise reduction is given. The presented discussion is based on a simulation case study devoted to noise reduction using a feedforward adaptive active noise control system.
This paper addresses the problem of ship trajectory planning in a collision situation. The objectives of this paper are twofold. The first objective is to propose the optimal safe ship trajectory in collision situatio...
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This paper addresses the problem of ship trajectory planning in a collision situation. The objectives of this paper are twofold. The first objective is to propose the optimal safe ship trajectory in collision situation is presented as multistage decision-making in a fuzzy environment. The second objective is to use method based on the neural network to determine a safe ship trajectory planning. The maneuverability parameters of the ship and the navigator's subjective assessment in making a decision are taken under consideration in the process model.
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