Promissing researchVision-based robot positioning using neural networks
References (47)
- et al.
An analytic solution for the perspective 4-point problem
Computer Vision, Graphics and Image Processing
(1989) A new computation of geometric moments
Pattern Recognition
(1993)- et al.
Simple and fast computation of moments
Pattern Recognition
(1991) Visual control of robot manipulators — a review
- et al.
Application of neural networks to image-based control of robot arms
- et al.
An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles
IEEE Trans. Systems, Man, and Cybernetics
(1990) - et al.
Cost-effective vision systems for intelligent vehicles
Visual servoing: a technology in search of an application
- et al.
Visual servoing: achievements, issues and applications
- et al.
The use of multisensor data for robotic applications
IEEE Trans. Robotics and Automation
(1990)
On-line compensation of mobile robot docking errors
IEEE J. Robotics and Automation
(December 1987)
Position verification of a mobile robot using standard pattern
IEEE J. Robotics and Automation
(December 1987)
A fruit-tracking system for robotic harvesting
Machine Vision and Applications
(1989)
Automatic calibration and visual servoing for a robot navigation system
La relation vision-commande: théorie et application à des tâches robotiques
Positioning of a robot with respect to an object, tracking it and estimating its velocity by visual servoing
A new approach to visual servoing in robotics
IEEE Trans, on Robotics and Automation
(June 1992)
Characterization and use of feature-Jacobian matrix for visual servoing
Dynamic sensor-based control of robots with visual feedback
IEEE J. Robotics and Automation
(October 1987)
Determining optical flow
Artificial Intelligence
(1981)
Hand-eye coordination for robotic tracking and grasping
Adaptive control, visual servoing and controlled active vision
Cited by (69)
Quality Evaluation of Bakery Products
2016, Computer Vision Technology for Food Quality Evaluation: Second EditionFeature selection for position estimation using an omnidirectional camera
2015, Image and Vision ComputingCitation Excerpt :In contrast to the localization problem with artificial markers or popular geometrical models, there are a growing number of practical scenarios in which global statistical information is used instead. Some works illustrate localization using various spatially distributed (continuous) signals such as distributed wireless Ethernet signal strength [15], or multi-dimensional magnetic fields [16]. In [17], a neural network is used to learn the implicit relationship between the pose displacements of a 6-DOF robot and the observed variations in global descriptors of the image such as geometric moments and Fourier descriptors.
Optical Camera Communications and Machine Learning for Indoor Visible Light Positioning
2023, U.Porto Journal of EngineeringA Digital Twin-Based Visual Servoing with Extreme Learning Machine and Differential Evolution
2023, International Journal of Intelligent Systems
Copyright © 1996 Published by Elsevier B.V.