MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124789 A) filed by G Uday Kiran; Ms. Srilakshmi V; Dr. M. Sree Vani; Moturi Sirisha; Dr Aluri Brahmareddy; and Ashwini G T, Hyderabad, Telangana, on Dec. 10, 2025, for 'an ai-driven adaptive precision control framework for robotics with real-time feedback and predictive error correction.'
Inventor(s) include G Uday Kiran; Ms. Srilakshmi V; Dr. M. Sree Vani; Moturi Sirisha; Dr Aluri Brahmareddy; and Ashwini G T.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The current invention provides an adaptive precision control framework utilising AI for robotic systems, in which the adaptive component rapidly integrates real-time multi-modal feedback from the environment, not only to achieve high accuracy and repeatability, but also to enhance robustness and operational safety through predictive error correction. This framework enhances traditional robotic controllers by adding an intelligent layer of precision, continuously estimating system state, predicting short-horizon permutations in position, trajectory and interaction forces, and adapting control actions on the fly to prevent errors. The proposed architecture then uses data from encoders, force-torque sensors, inertial units, vision systems, and environmental sensors to proactively buffer disturbances such as payload changes, mechanical ageing, and environmental uncertainty. This invention also enables explainability and human-in-the-loop operation via visual dashboards and diagnostics to explain predicted errors and corrective actions. It provides transparent confidence in the AI system's predictions and corrective actions. Refinement with a digital twin and continuous learning enables incremental optimisation without interfering with live control. The framework can be implemented on different types of robots, such as industrial manipulators, collaborative robots, service robots and assistive systems. Robotics manufacturers can benefit from the invention due to no need to redesign their hardware, leading to high performance overall product; industrial operators and end-users of the industrial robots which can benefit from improve in linear precision, output rate, workpiece safety and productivity; maintenance teams can enforce predictive diagnostics systems based on model degradation; and system integrators can achieve a functional, scalable, and interoperable deployment across a range of environmental operational tasks; AI and software engineers can engineer evolution of control policies using non-invasive logging data throughout their training phase and safety and compliance authorities can have traceable logs of robot behavior and ways to query and explain control actions."
Disclaimer: Curated by HT Syndication.
