Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Serkan Aydin; Hakan Temeltas

Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Serkan Aydin^*
, Hakan Temeltas

^*Corresponding author for this work

Department of Control and Automation Engineering

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

Original language	English
Pages	764-769
Number of pages	6
Publication status	Published - 2002
Event	Proceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver, Canada Duration: 27 Oct 2002 → 30 Oct 2002

Conference

Conference	Proceedings of the 2002 IEEE International Symposium on Intelligent Control
Country/Territory	Canada
City	Vancouver
Period	27/10/02 → 30/10/02

Keywords

Mobile robots
Optimization
Trajectory

Cite this

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title = "Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system",

abstract = "Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.",

keywords = "Mobile robots, Optimization, Trajectory",

author = "Serkan Aydin and Hakan Temeltas",

year = "2002",

language = "English",

pages = "764--769",

note = "Proceedings of the 2002 IEEE International Symposium on Intelligent Control ; Conference date: 27-10-2002 Through 30-10-2002",

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TY - CONF

T1 - Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

AU - Aydin, Serkan

AU - Temeltas, Hakan

PY - 2002

Y1 - 2002

N2 - Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

AB - Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

KW - Mobile robots

KW - Optimization

KW - Trajectory

UR - https://www.scopus.com/pages/publications/0036916131

M3 - Paper

AN - SCOPUS:0036916131

SP - 764

EP - 769

T2 - Proceedings of the 2002 IEEE International Symposium on Intelligent Control

Y2 - 27 October 2002 through 30 October 2002

ER -

Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Abstract

Conference

Keywords

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Cite this