MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202521132960 A) filed by Vishwakarma University, Pune, Maharashtra, on Dec. 29, 2025, for 'reinforcement learning-based adaptive process control for zero-waste smart manufacturing systems.'
Inventor(s) include Jagadish V Tawade; Neerav Shrenik Sanghvi; Samarth Baswaraj Ghatwane; Om Dhanyakumar Godse; Soniya Gajanan Parsewar; Rajkumar Sadashiv Jagdale; Sujit N. Deshpande; Raeesa Bashir; Sanjay Kumar Pal; and Nitiraj V. Kulkarni.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The system utilizes real-time data acquired from industrial sensors to continuously monitor process conditions, material usage, energy consumption, and product quality. A reinforcement learning controller dynamically adjusts process parameters such as feed rate, temperature, pressure, and machine speed to minimize material waste and scrap while maintaining required quality, throughput, and safety constraints. The controller is initially trained using a digital twin of the manufacturing process incorporating material variability, machine wear, sensor noise, and environmental disturbances, enabling robust policy learning through domain randomization. The trained model is transferred to the physical system using a simulation-to-real deployment strategy and operates under human-in-the-loop supervision with enforced safety limits. The invention enables significant reduction in waste and energy consumption without degrading production performance and supports scalable deployment on edge or cloud platforms, thereby advancing sustainable, intelligent, and autonomous manufacturing systems aligned with Industry 4.0 objectives."
Disclaimer: Curated by HT Syndication.
