MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202621023885 A) filed by Marwadi University, Rajkot, Gujarat, on Feb. 27, for 'explainable artificial intelligence system for enabling multitask robot learning.'
Inventor(s) include Nadagouni Harshavardhan Reddy; M Chatrapathi Subhash Reddy; Dr. Madhu Shukla; Simrin Fathima Syed; Vipul Ladva; Akshay Ranpariya; and Neel Dholakia.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "An explainable artificial intelligence system for enabling multitask robot learning, the system comprises an input layer 101 for receiving multi-modal sensor 102 data from a dynamic environment, a neural network 103 functioning as a multitask learning (MTRL) core to process the sensor data for determining policy of multiple tasks to be performed by a robot, a failure and anomaly handling module 104 to monitor the robot's performance, looking for deviations from expected outcomes, an explainable AI (XAI) module 105 to generate an explanation upon receiving a failure signal or a query, a human-robot interface 106 to translate the explanation into a human-understandable format and present to a human operator, and a processing unit 107 to execute the input layer 101, the network 103, the modules 104, 105, and the interface 106 embedded in a non-volatile memory 108."
Disclaimer: Curated by HT Syndication.
