MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541091178 A) filed by Panyam Aditya Sharma; Dr. Pragati Mahale; K Radhika; Sarabu Joshna; Mekala Sulochana; C. Nagesh; M. C. Bhanu Prasad; Dr Praveen Kumar Yechuri; and Koushik Reddy Chaganti, Hyderabad, Telangana, on Sept. 23, 2025, for 'multi-agent reinforcement learning framework for autonomous iot swarm coordination.'
Inventor(s) include Panyam Aditya Sharma; Dr. Pragati Mahale; K Radhika; Sarabu Joshna; Mekala Sulochana; C. Nagesh; M. C. Bhanu Prasad; Dr Praveen Kumar Yechuri; and Koushik Reddy Chaganti.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to a multi-agent reinforcement learning (MARL) framework for autonomous IoT swarm coordination. The framework enables large-scale decentralized decision-making through hierarchical reinforcement learning, dynamic communication optimization, and distributed reward sharing. It incorporates meta-learning for rapid adaptation, heterogeneity adaptation for diverse agent capabilities, and energy-aware mechanisms for low-latency real-time coordination. The invention addresses scalability, non-stationarity, and communication bottlenecks in IoT swarm systems, enabling applications in smart transportation, disaster response, industrial automation, and healthcare."
Disclaimer: Curated by HT Syndication.
