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AMOVLAB at the National Conference on Swarm Intelligence and Cooperative Control

by AMOVLAB 26 Apr 2026 0 条评论

From November 1 to 3, the 9th National Conference on Swarm Intelligence and Cooperative Control was held in Shanghai. Hosted by the Chinese Institute of Command and Control and jointly organized by multiple institutions including the Swarm Intelligence and Cooperative Control Committee, Shanghai Jiao Tong University, Shanghai University, Beihang University, and related aerospace research institutes, the conference brought together more than 700 representatives from over 200 organizations.

The conference focused on swarm intelligence, cooperative perception and cognition, cooperative decision-making and planning, cooperative guidance and control, and other areas. It is one of the most authoritative annual events in this field in China.

AMOVLAB participated with multiple self-developed platforms and solutions, communicating face-to-face with experts, scholars, and industry partners to discuss frontier achievements and engineering implementation paths for swarm intelligence.

Exhibition Site

AMOVLAB showcased SU17 UAVs, P600 UAVs, P450 UAVs, AllSpark2 onboard computers, LQ video/data links, and SU17 inspection solutions. These products attracted the attention of research users, industry experts, and partners, leading to in-depth discussions on technical verification and scenario implementation.

AMOVLAB at the National Conference on Swarm Intelligence and Cooperative Control
AMOVLAB UAV platforms and solutions on display

Looking Ahead

By participating in this conference, AMOVLAB not only demonstrated its technical accumulation and product portfolio in unmanned systems, but also built closer connections with universities, research institutions, and industry partners.

Looking forward, AMOVLAB will continue following the mission of making robot R&D more efficient. Around unmanned-system development toolchains and cooperative-control technologies, we will provide full-stack support from simulation verification to real-flight deployment, helping more teams participate in swarm-intelligence innovation and practice with lower barriers and higher efficiency.

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