MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641110364 A) filed by Vellore Institute Of Technology on September 15, 2026, for Adaptive Analytics-Driven Hybrid Swarm Coordination Framework For Autonomous Mapping, Search, And Resource Optimization.
Inventors include Gopichand G; Aditya Arnav; and Adwitiyo Roy.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: An adaptive analytics-driven hybrid swarm coordination system and method for heterogeneous unmanned aerial vehicles (UAVs) is disclosed. A multi-factor analytics engine continuously evaluates communication quality, battery status, mission priority, detection confidence, environmental conditions, target probability, mapping status, and drone-loss history to control swarm operation. The system dynamically selects centralized, semi-centralized, or fully distributed coordination; determines adaptive exploration-trail reinforcement and resource-aware exploration probability; and assigns mapper and sensor-equipped searcher UAVs in pairs. A mission- confidence engine validates detections through corroboration and leader verification, while communication analytics predicts link degradation and isolation risk. A drone-loss adaptation mechanism generates a decaying adaptation coefficient for modifying exploration behaviour and formation spacing. A leader-selection mechanism further elects a replacement UAV based on battery, connectivity, and spatial centrality. The unified analytics state thereby enables coordinated physical adaptation of swarm topology, movement, sensing, formation, and leadership.
Disclaimer: Curated by HT Syndication.
