The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 15, 2022

Filed:

Jan. 29, 2021
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Chayan Sarkar, Kolkata, IN;

Pradip Pramanick, Kolkata, IN;

Snehasis Banerjee, Kolkata, IN;

Brojeshwar Bhowmick, Kolkata, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); B25J 9/16 (2006.01); B25J 11/00 (2006.01); G10L 15/18 (2013.01); H04W 4/021 (2018.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); B25J 9/1679 (2013.01); B25J 11/0005 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); H04W 4/021 (2013.01); G10L 2015/223 (2013.01);
Abstract

The disclosure herein relates to methods and systems for enabling human-robot interaction (HRI) to resolve task ambiguity. Conventional techniques that initiates continuous dialogue with the human to ask a suitable question based on the observed scene until resolving the ambiguity are limited. The present disclosure use the concept of Talk-to-Resolve (TTR) which initiates a continuous dialogue with the user based on visual uncertainty analysis and by asking a suitable question that convey the veracity of the problem to the user and seek guidance until all the ambiguities are resolved. The suitable question is formulated based on the scene understanding and the argument spans present in the natural language instruction. The present disclosure asks questions in a natural way that not only ensures that the user can understand the type of confusion, the robot is facing; but also ensures minimal and relevant questioning to resolve the ambiguities.


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