The 3rd International Conference on Robotics, Artificial intelligence and Intelligent Control(RAIIC 2024)

Full Paper 

Submission Date

May 31, 2024

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Registration 

Deadline

June 20, 2024

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Final Paper 

Submission Date

July 1, 2024

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Conference

Dates

 July 5-7, 2024

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Welcome tRAIIC 2024



The 3rd International Conference of Robotics, Artificial Intelligence and Intelligent Control (RAIIC 2024) will be held in Mianyang, China during July 5-7, 2024. The conference is a forum for presenting excellent results and a new challenge that facing the field of Robotics, Artificial intelligence and intelligent control. It will bring together the experts, scholars, researchers and related practitioners from all around the world to communicate their research results and address the open issues in Robotics, Artificial intelligence and intelligent control.


RAIIC 2024 sincerely welcome researchers to participate in this efficient, high-quality and authoritative international academic communication platform. We are pleased to invite you to submit paper and looking forward for meeting you in Mianyang, China. If you need more information about submission, welcome to contact with us.



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Call For Papers

Topics of interest include but are not limited to

Robotics and applications

(1) Robot design, development and control;

(2) Simulation and modeling of robot system;

(3) robot intelligent autonomous system;

(4) robot human-computer interaction technology;

(5) Multi-robot technology.


Intelligent Control systems and optimization

(1) Intelligent control theory and system;

(2) Network intelligence and network control;

(3) Intelligent control of new energy and energy conservation and environmental protection;

(4) Intelligent fault detection and diagnosis;

(5) Cloud computing and computing intelligence.


Artificial Intelligence technology and applications

(1) Artificial intelligence and evolutionary algorithms;

(2) Distributed artificial intelligence algorithms and technologies;

(3) Image analysis and intelligent medical treatment;

(4) Machine learning and machine intelligence;

(5) Application of artificial intelligence in computational fluid dynamics.




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