MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122356 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'system for high-precision motor control using reinforcement algorithms.'
Inventor(s) include Dr. Swati Gupta; Dr. Shweta Bansal; and Dr. Seema Raj.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system for high-precision motor control using reinforcement algorithms that integrates real-time sensing, adaptive learning, and intelligent actuation to achieve micro-scale motor accuracy under dynamic operating conditions. The system comprises sensor units that continuously monitor motor parameters, a microcontroller that generates state representations, a reinforcement learning engine that evaluates these states to determine optimal control actions, and an actuation assembly that delivers refined electrical inputs to the motor. A constraint governance module ensures that reinforcement-derived actions remain within hardware-safe limits while a hybrid connectivity framework enables scalable deployment across distributed industrial environments. Through reward-driven learning cycles, the system continually improves its control policies, reduces energy consumption, enhances stability, and adapts to mechanical variations, thereby providing a robust intelligent motor control platform suitable for robotics, manufacturing, precision instrumentation, and automation ecosystems."
Disclaimer: Curated by HT Syndication.
