The 4th International Conference on Robotics, Artificial intelligence and Intelligent Control(RAIIC 2025)

Symposium 3: SECOLZ 2025













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About SECOLZ 2025

2025 International Symposium on Safety and Emergency Control Oriented to the Low-altitude Economic Zone

Dates: July 4-6, 2025    Venue: Chengdu, China

57bbf14392818e78f68110e323f63810_399240520134840532.gifSubmission Link: https://www.ais.cn/attendees/paperSubmit/QJMVIE

57bbf14392818e78f68110e323f63810_399240520134840532.gifRegistration Link: https://www.ais.cn/attendees/toSignUp/QJMVIE


As a Symposium of the The 4th International Conference on Robotics, Artificial Intelligence and Intelligent Control  (SECOLZ 2025), SECOLZ 2025 will be held in Chengdu from July 4-6, 2025. SECOLZ 2025 is to bring together innovative academics and industrial experts in the field of Safety and Emergency Control Oriented to the Low-altitude Economic Zone to a common forum.

The primary goal of the conference is to promote research and developmental activities in Safety and Emergency Control Oriented to the Low-altitude Economic Zone and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. We sincerely invite you to participate in SECOLZ 2025 and look forward to seeing you in Chengdu!



Publication

Submit to Conference Proceedings (EI)

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All papers submitted to SECOLZ 2025 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in IEEE (ISBN: 979-8-3315-3636-7), andsubmitted to EI Compendex, Scopus for indexing.



Call For Papers

  • Robust control for large-scale unmanned aerial vehicle (UAV) swarms in the face of communication delays, signal interference, malicious attacks, etc.

  • Emergency control for unmanned autonomous systems in the face of threats such as collision risks, cyber intrusions, and adverse weather conditions.

  • Fault Diagnosis and Intelligent Operation and Maintenance for Unmanned Autonomous Systems