Evolutionary Function Approximation for Gait Generation on Legged Robots

Nature-Inspired Computing for Control Systems - Studies in Systems, Decision and Control ◽

10.1007/978-3-319-26230-7_10 ◽

2015 ◽

pp. 265-289

Author(s):

Oscar A. Silva ◽

Miguel A. Solis

Keyword(s):

Function Approximation ◽

Legged Robots ◽

Gait Generation ◽

Evolutionary Function

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Topology Matrix Method for Gait Generation of Wheel-legged Robots

Journal of Mechanical Engineering ◽

10.3901/jme.2017.21.001 ◽

2017 ◽

Vol 53 (21) ◽

pp. 1 ◽

Author(s):

Weizhong GUO

Keyword(s):

Matrix Method ◽

Legged Robots ◽

Gait Generation

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Evolutionary Function Approximation

Adaptive Representations for Reinforcement Learning - Studies in Computational Intelligence ◽

10.1007/978-3-642-13932-1_4 ◽

2010 ◽

pp. 31-46

Author(s):

Shimon Whiteson

Keyword(s):

Function Approximation ◽

Evolutionary Function

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An Interactive Software Environment for Gait Generation and Control Design of Sony Legged Robots

RoboCup 2002: Robot Soccer World Cup VI - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45135-8_22 ◽

2003 ◽

pp. 279-287 ◽

Author(s):

Dragos Golubovic ◽

Huosheng Hu

Keyword(s):

Control Design ◽

Legged Robots ◽

Interactive Software ◽

Software Environment ◽

Gait Generation ◽

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A hybrid evolutionary algorithm for gait generation of Sony legged robots

IEEE 2002 28th Annual Conference of the Industrial Electronics Society IECON 02 IECON-02 ◽

10.1109/iecon.2002.1182802 ◽

2003 ◽

Author(s):

D. Golubovic ◽

Huosheng Hu

Keyword(s):

Evolutionary Algorithm ◽

Legged Robots ◽

Gait Generation ◽

Hybrid Evolutionary Algorithm

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Gait Generation For Legged Robots

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.1992.594568 ◽

2005 ◽

Author(s):

D. Wettergreen ◽

C. Thorpe

Keyword(s):

Legged Robots ◽

Gait Generation

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Sample-Efficient Evolutionary Function Approximation

Adaptive Representations for Reinforcement Learning - Studies in Computational Intelligence ◽

10.1007/978-3-642-13932-1_5 ◽

2010 ◽

pp. 47-52

Author(s):

Shimon Whiteson

Keyword(s):

Function Approximation ◽

Evolutionary Function

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An Evolutionary Function Approximation Approach to Compute Prediction in XCSF

Machine Learning: ECML 2005 - Lecture Notes in Computer Science ◽

10.1007/11564096_57 ◽

2005 ◽

pp. 584-592 ◽

Author(s):

Ali Hamzeh ◽

Adel Rahmani

Keyword(s):

Function Approximation ◽

Approximation Approach ◽

Evolutionary Function

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Obstacle Crossing Gait Generation of a Two-Legged Robot using Differential Evolution Trained Neural Networks

International Academy of Engineers (IA-E) Dec. 30-31, 2014 Bangkok, Thailand ◽

10.15242/iae.iae1214201 ◽

2014 ◽

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Legged Robot ◽

Obstacle Crossing ◽

Gait Generation

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On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems

Global Journal For Research Analysis ◽

10.15373/22778160/february2014/60 ◽

2012 ◽

Vol 3 (2) ◽

pp. 186-189

Author(s):

Dr.R.Sheelarani Dr.R.Sheelarani ◽

◽

Dr. K.T. Arulmozhi Dr. K.T. Arulmozhi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Function Approximation ◽

Elastic Moduli ◽

Binary Oxide ◽

Oxide Glass ◽

Artificial Neural

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A Technique for Improving the Positioning Accuracy of Maximum-Correlation Radio Navigation Systems Through the Use of Decision Function Approximation Methods

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v58.i9-10.150 ◽

2002 ◽

Vol 58 (9-10) ◽

pp. 9

Author(s):

Valeriy Ivanovich Antyufeev ◽

I.E. Bakulin ◽

V. N. Bykov ◽

A. M. Grichanyuk ◽

T.V. Miroshnik-Bykova

Keyword(s):

Function Approximation ◽

Decision Function ◽

Approximation Methods ◽

Navigation Systems ◽

Maximum Correlation ◽

Positioning Accuracy ◽

Radio Navigation

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