Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks

Evren Daǧlarli; Hakan Temeltaş

doi:10.1109/ICNC.2007.268

Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks

Evren Daǧlarli^*, Hakan Temeltaş

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this study, behavioral system based robot control architecture is built up for a four-wheel driven and four-wheel steered mobile robot. Behavioral system is determined as evolutionary neural-fuzzy inference system for behavior generation and self-learning processes in the general robot control architecture. The kinematics and dynamic model of the mobile robot with non-holonomic constraints is used as present structure which is modeled in previous studies. The posture and speed of the robot and the configurations, speeds and torques of the wheels can be observed from the simulation plant and virtual reality viewer. The behaviors are investigated regarding their gains, fuzzy inference structures, real-time applicability and their coordination.

Original language	English
Title of host publication	Proceedings - Third International Conference on Natural Computation, ICNC 2007
Pages	139-143
Number of pages	5
DOIs	https://doi.org/10.1109/ICNC.2007.268
Publication status	Published - 2007
Event	3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, China Duration: 24 Aug 2007 → 27 Aug 2007

Publication series

Name	Proceedings - Third International Conference on Natural Computation, ICNC 2007
Volume	2

Conference

Conference	3rd International Conference on Natural Computation, ICNC 2007
Country/Territory	China
City	Haikou, Hainan
Period	24/08/07 → 27/08/07

Keywords

Autonomous robotics
Diploid genetic programming
Relational fuzzy logic
Robot behavior
SOM neural networks

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10.1109/ICNC.2007.268

Cite this

Daǧlarli, E., & Temeltaş, H. (2007). Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks. In Proceedings - Third International Conference on Natural Computation, ICNC 2007 (pp. 139-143). Article 4304534 (Proceedings - Third International Conference on Natural Computation, ICNC 2007; Vol. 2). https://doi.org/10.1109/ICNC.2007.268

@inproceedings{94b5a89ee54044eca3fc21371d07c741,

title = "Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks",

abstract = "In this study, behavioral system based robot control architecture is built up for a four-wheel driven and four-wheel steered mobile robot. Behavioral system is determined as evolutionary neural-fuzzy inference system for behavior generation and self-learning processes in the general robot control architecture. The kinematics and dynamic model of the mobile robot with non-holonomic constraints is used as present structure which is modeled in previous studies. The posture and speed of the robot and the configurations, speeds and torques of the wheels can be observed from the simulation plant and virtual reality viewer. The behaviors are investigated regarding their gains, fuzzy inference structures, real-time applicability and their coordination.",

keywords = "Autonomous robotics, Diploid genetic programming, Relational fuzzy logic, Robot behavior, SOM neural networks",

author = "Evren Daǧlarli and Hakan Temelta{\c s}",

year = "2007",

doi = "10.1109/ICNC.2007.268",

language = "English",

isbn = "0769528759",

series = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",

pages = "139--143",

booktitle = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",

note = "3rd International Conference on Natural Computation, ICNC 2007 ; Conference date: 24-08-2007 Through 27-08-2007",

}

Daǧlarli, E & Temeltaş, H 2007, Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks. in Proceedings - Third International Conference on Natural Computation, ICNC 2007., 4304534, Proceedings - Third International Conference on Natural Computation, ICNC 2007, vol. 2, pp. 139-143, 3rd International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24/08/07. https://doi.org/10.1109/ICNC.2007.268

Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks. / Daǧlarli, Evren ; Temeltaş, Hakan.
Proceedings - Third International Conference on Natural Computation, ICNC 2007. 2007. p. 139-143 4304534 (Proceedings - Third International Conference on Natural Computation, ICNC 2007; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this study, behavioral system based robot control architecture is built up for a four-wheel driven and four-wheel steered mobile robot. Behavioral system is determined as evolutionary neural-fuzzy inference system for behavior generation and self-learning processes in the general robot control architecture. The kinematics and dynamic model of the mobile robot with non-holonomic constraints is used as present structure which is modeled in previous studies. The posture and speed of the robot and the configurations, speeds and torques of the wheels can be observed from the simulation plant and virtual reality viewer. The behaviors are investigated regarding their gains, fuzzy inference structures, real-time applicability and their coordination.

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Artificial behavioral system by sensor-motor mapping strategy for multi-objective robot tasks

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