Omni-directional vision-based control strategy for humanoid soccer robot

Yu Te Su; Tzuu-Hseng S. Li; Chia Ling Hsu; Ming Feng Lu; Chun Yang Hu; Shao Hsien Liu

doi:10.1109/IECON.2007.4460356

Omni-directional vision-based control strategy for humanoid soccer robot

Yu Te Su, Tzuu-Hseng S. Li, Chia Ling Hsu, Ming Feng Lu, Chun Yang Hu, Shao Hsien Liu

Department of Electrical Engineering

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

4 Citations (Scopus)

Abstract

The humanoid soccer robot system can be considered as a visual feedback system that includes the design and implementation of the hardware architecture, visual servo system, control strategy system and sensory system. This paper is mainly to integrate the two major parts of the humanoid soccer robot, the visual system and control strategy system. At first, the architecture of the omni-directional vision system is setup. The advanced label algorithm (ALA) is then employed for object recognition in the vision processing system. The corresponding offending and defending control strategies are developed. Two special data transformation mechanisms are also examined. Finally the experiments of the humanoid soccer robot are performed to verify the benefit and the feasibility of'the proposed control strategies.

Original language	English
Title of host publication	Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Pages	2950-2955
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2007.4460356
Publication status	Published - 2007
Event	33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, Taiwan Duration: 2007 Nov 5 → 2007 Nov 8

Other

Other	33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Country/Territory	Taiwan
City	Taipei
Period	07-11-05 → 07-11-08

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/IECON.2007.4460356

Cite this

@inproceedings{7c4b21c17d05451993bcb75cd5f95b9a,

title = "Omni-directional vision-based control strategy for humanoid soccer robot",

abstract = "The humanoid soccer robot system can be considered as a visual feedback system that includes the design and implementation of the hardware architecture, visual servo system, control strategy system and sensory system. This paper is mainly to integrate the two major parts of the humanoid soccer robot, the visual system and control strategy system. At first, the architecture of the omni-directional vision system is setup. The advanced label algorithm (ALA) is then employed for object recognition in the vision processing system. The corresponding offending and defending control strategies are developed. Two special data transformation mechanisms are also examined. Finally the experiments of the humanoid soccer robot are performed to verify the benefit and the feasibility of'the proposed control strategies.",

author = "Su, {Yu Te} and Li, {Tzuu-Hseng S.} and Hsu, {Chia Ling} and Lu, {Ming Feng} and Hu, {Chun Yang} and Liu, {Shao Hsien}",

year = "2007",

doi = "10.1109/IECON.2007.4460356",

language = "English",

isbn = "1424407834",

pages = "2950--2955",

booktitle = "Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON",

note = "33rd Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 05-11-2007 Through 08-11-2007",

}

Su, YT, Li, T-HS, Hsu, CL, Lu, MF, Hu, CY & Liu, SH 2007, Omni-directional vision-based control strategy for humanoid soccer robot. in Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON., 4460356, pp. 2950-2955, 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON, Taipei, Taiwan, 07-11-05. https://doi.org/10.1109/IECON.2007.4460356

TY - GEN

T1 - Omni-directional vision-based control strategy for humanoid soccer robot

AU - Su, Yu Te

AU - Li, Tzuu-Hseng S.

AU - Hsu, Chia Ling

AU - Lu, Ming Feng

AU - Hu, Chun Yang

AU - Liu, Shao Hsien

PY - 2007

Y1 - 2007

N2 - The humanoid soccer robot system can be considered as a visual feedback system that includes the design and implementation of the hardware architecture, visual servo system, control strategy system and sensory system. This paper is mainly to integrate the two major parts of the humanoid soccer robot, the visual system and control strategy system. At first, the architecture of the omni-directional vision system is setup. The advanced label algorithm (ALA) is then employed for object recognition in the vision processing system. The corresponding offending and defending control strategies are developed. Two special data transformation mechanisms are also examined. Finally the experiments of the humanoid soccer robot are performed to verify the benefit and the feasibility of'the proposed control strategies.

AB - The humanoid soccer robot system can be considered as a visual feedback system that includes the design and implementation of the hardware architecture, visual servo system, control strategy system and sensory system. This paper is mainly to integrate the two major parts of the humanoid soccer robot, the visual system and control strategy system. At first, the architecture of the omni-directional vision system is setup. The advanced label algorithm (ALA) is then employed for object recognition in the vision processing system. The corresponding offending and defending control strategies are developed. Two special data transformation mechanisms are also examined. Finally the experiments of the humanoid soccer robot are performed to verify the benefit and the feasibility of'the proposed control strategies.

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U2 - 10.1109/IECON.2007.4460356

DO - 10.1109/IECON.2007.4460356

M3 - Conference contribution

AN - SCOPUS:49949091192

SN - 1424407834

SN - 9781424407835

SP - 2950

EP - 2955

BT - Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON

T2 - 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON

Y2 - 5 November 2007 through 8 November 2007

ER -

Omni-directional vision-based control strategy for humanoid soccer robot

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