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MultiAgent Remote Control for Robot Motion Planning
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由 S Kefi 著作2008被引用 4 次 — MARCoPlan is simulated and tested using randomly and dynamically generated problem instances with different distributions of obstacles. The tests verify some ...
MultiAgent Remote Control for Robot Motion Planning
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2024年11月21日 — MARCoPlan is simulated and tested using randomly and dynamically generated problem instances with different distributions of obstacles. The ...
MultiAgent Remote Control for Robot Motion Planning
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由 S Kefi 著作2008被引用 4 次 — MARCoPlan is simulated and tested using randomly and dynamically generated problem instances with different distributions of obstacles. The tests verify some ...
MultiAgent Remote Control for Robot Motion Planning
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This work proposes to agentify the proximity environment (zones) of the robot; cooperation between theses zones agents will allow the selection of the best ...
Hybrid Fuzzy-MutiAgent planning for robust mobile robot ...
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由 S Kefi 著作2010被引用 4 次 — This paper presents an intelligent hybrid system to support the planning for a mobile robot motion in unknown and dynamic environment.
A MARCoPlan simulation in dynamic environment
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This paper presents an intelligent hybrid system to support the planning for a mobile robot motion in unknown and dynamic environment. Called Fuzzy-MARCoPlan ( ...
Sonia Kefi
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Marcoplan: Multiagent remote control for robot motion planning. S Kefi, I Barhoumi, I Kallel, AM Alimi. Artificial Intelligence and Soft Computing–ICAISC 2008 ...
Sonia Kefi
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2010. Marcoplan: Multiagent remote control for robot motion planning. S Kefi, I Barhoumi, I Kallel, AM Alimi. Artificial Intelligence and Soft Computing–ICAISC ...
Hybrid Fuzzy-MutiAgent planning for robust mobile robot ...
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由 S Kefi 著作2010被引用 4 次 — Abstract—This paper presents an intelligent hybrid system to support the planning for a mobile robot motion in unknown and dynamic environment.
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Hybrid Fuzzy-MutiAgent planning for robust mobile robot motion
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MARCoPlan: MultiAgent Remote Control for Robot Motion Planning · Fuzzy motion planning among dynamic obstacles using artificial potential fields for robot ...