Global demand for advanced connectivity and autonomous systems is surging, driven by the proliferation of IoT, satellite internet, and smart city initiatives. This creates a critical need for efficient, scalable, and resilient multi-vehicle coordination. Regulatory frameworks are evolving to support drone delivery and autonomous transport, while the space sector is rapidly expanding with mega-constellations. This technology directly addresses these trends by providing a robust, automated solution for complex swarm management, enabling new services and reducing operational overhead across multiple industries.
Optimizes communication lines flexibly: Dynamically controls communication lines using beamforming and MIMO based on service requirements, reducing the effort and cost of designing custom systems for each service.
Significantly reduces operational burden: Automates follower vehicle control by a leader vehicle and autonomous position/attitude control of each vehicle via an onboard processor, substantially easing complex user operations.
Ensures exclusive market advantage with robust IP: This patent was registered after overcoming strict examiner objections and comparison with five prior art documents. It secures a long-term exclusive market advantage until 2042.
This patent establishes robust protection across a mobile group control system, method, and communication device, with 9 claims. It clearly differentiates from prior art, having overcome examiner objections against five prior art documents, suggesting low invalidation risk and strong business stability.
The patent primarily covers leader-follower swarm control and communication optimization for mobile groups. White space exists in advanced AI-driven autonomous decision-making for individual agents within the swarm, novel sensor fusion techniques for environmental awareness, and specific hardware implementations for ultra-miniature or reconfigurable mobile units.
Implementing this technology could reduce the frequency of manual adjustments in complex formation flight operations by approximately 70%. This is expected to optimize labor costs and ground station resource utilization. For a satellite constellation with annual operational costs of ~$20M (AI est.), a 25% reduction could yield an annual cost saving of ~$500K (AI est.). Additionally, optimal communication and attitude control could suppress fuel consumption, extending the average design life of satellites by 10%.
X: Operational Efficiency
Y: Service Flexibility