MUMBAI, India, Nov. 7 -- Intellectual Property India has published a patent application (202421035382 A) filed by Tata Consultancy Services Limited, Maharashtra, on May 3, 2024, for 'method and system for task anticipation by integrating large language models and classical planning.'
Inventor(s) include Banerjee, Snehasis; Bhowmick, Brojeshwar; Arora, Raghav; Datta, Ahana; Singh, Shivam; Swaminathan, Karthik; Krishna, Madhava; Sridharan, Mohan; and Jatavallabhula, Krishna Murthy.
The application for the patent was published on Nov. 7, under issue no. 45/2025.
According to the abstract released by the Intellectual Property India: "The present invention generally relates to the field of robotics, and, more particularly, to a method and system for task anticipation by integrating large language models and classical planning. Conventional methods for task anticipating use data-driven deep network architectures and Large Language Models (LLMs) for task estimation but they do so at the level of high-level tasks and require a large number of training examples. Thus, embodiments of present disclosure provide a method and system for task anticipation by integrating large language models and classical planning. The disclosed method and system leverages the generic knowledge of LLMs through a small number of prompts to perform high-level task anticipation, using the anticipated tasks as joint goals in a classical planning system to compute a sequence of finer granularity actions that jointly achieve these goals."
Disclaimer: Curated by HT Syndication.
