Invention Grant
- Patent Title: Conversational systems and methods for robotic task identification using natural language
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Application No.: US17009317Application Date: 2020-09-01
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Publication No.: US11328726B2Publication Date: 2022-05-10
- Inventor: Pradip Pramanick , Chayan Sarkar , Balamuralidhar Purushothaman , Ajay Kattepur , Indrajit Bhattacharya , Arpan Pal
- Applicant: Tata Consultancy Services Limited
- Applicant Address: IN Mumbai
- Assignee: Tata Consultancy Services Limited
- Current Assignee: Tata Consultancy Services Limited
- Current Assignee Address: IN Mumbai
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Priority: IN201921041305 20191011
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G10L15/22 ; G06F40/205 ; G06F40/30

Abstract:
This disclosure relates generally to human-robot interaction (HRI) to enable a robot to execute tasks that are conveyed in a natural language. The state-of-the-art is unable to capture human intent, implicit assumptions and ambiguities present in the natural language to enable effective robotic task identification. The present disclosure provides accurate task identification using classifiers trained to understand linguistic and semantic variations. A mixed-initiative dialogue is employed to resolve ambiguities and address the dynamic nature of a typical conversation. In accordance with the present disclosure, the dialogues are minimal and directed to the goal to ensure human experience is not degraded. The method of the present disclosure is also implemented in a context sensitive manner to make the task identification effective.
Public/Granted literature
- US20210110822A1 CONVERSATIONAL SYSTEMS AND METHODS FOR ROBOTIC TASK IDENTIFICATION USING NATURAL LANGUAGE Public/Granted day:2021-04-15
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