Inverse kinematics of mobile manipulators based on differential evolution

C López-Franco… - International …, 2018 - journals.sagepub.com
The solution of the inverse kinematics of mobile manipulators is a fundamental capability to
solve problems such as path planning, visual-guided motion, object gras**, and so on. In …

Evolutionary reinforcement learning of artificial neural networks

NT Siebel, G Sommer - International Journal of Hybrid …, 2007 - content.iospress.com
In this article we describe EANT, Evolutionary Acquisition of Neural Topologies, a method
that creates neural networks by evolutionary reinforcement learning. The structure of the …

Efficient neural network pruning during neuro-evolution

NT Siebel, J Botel, G Sommer - 2009 International Joint …, 2009 - ieeexplore.ieee.org
In this article we present a new method for the pruning of unnecessary connections from
neural networks created by an evolutionary algorithm (neuro-evolution). Pruning not only …

Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data

NT Siebel, G Sommer - 2008 IEEE Congress on Evolutionary …, 2008 - ieeexplore.ieee.org
This article presents results from experiments where a detector for defects in visual
inspection images was learned from scratch by EANT2, a method for evolutionary …

Calculation of the manipulator's kinematic model and mounting points of the drive equipment

A Dorokhov, V Kirsanov, D Pavkin, D Shilin… - … : Proceedings of the 2nd …, 2020 - Springer
The work is devoted to solving the kinematic problems of the manipulator, the working part of
which is a milking machine designed for automatic service of cattle. The scenario of a …

Efficient learning of neural networks with evolutionary algorithms

NT Siebel, J Krause, G Sommer - Pattern Recognition: 29th DAGM …, 2007 - Springer
In this article we present EANT, a method that creates neural networks (NNs) by evolutionary
reinforcement learning. The structure of NNs is developed using mutation operators, starting …

Simultaneously learning to recognize and control a low-cost robotic arm

F Larsson, E Jonsson, M Felsberg - Image and Vision Computing, 2009 - Elsevier
In this paper, we present a visual servoing method based on a learned map** between
feature space and control space. Using a suitable recognition algorithm, we present and …

[PDF][PDF] References to cma-es applications

PIC Ryan - Strategies, 2007 - cmap.polytechnique.fr
[13] JW Wilson, P. Schlup, M. Lunacek, D. Whitley, and RA Bartels. Calibration of liquid
crystal ultrafast pulse shaper with common-path spectral interferometry and application to …

Creating edge detectors by evolutionary reinforcement learning

NT Siebel, S Grunewald… - 2008 IEEE Congress on …, 2008 - ieeexplore.ieee.org
In this article we present results from experiments where a edge detector was learned from
scratch by EANT2, a method for evolutionary reinforcement learning. The detector is …

Multi-rate visual servoing based on dual-rate high order holds

JE Solanes, J Tornero, L Armesto, V Girbés - … Robotic Systems: 12th …, 2011 - Springer
This paper describes a multi-rate approach based on the extensive use of Dual-rate High
Order Holds for visual servoing systems. Moreover a complete description of a general multi …