公开(公告)号：US11654573B2

公开(公告)日：2023-05-23

申请号：US17168076

申请日：2021-02-04

Applicant: Tata Consultancy Services Limited

Inventor： Soumyadip Maity ,  Gourav Kumar ,  Ruddra Dev Roy Choudhury ,  Brojeshwar Bhowmick

IPC: B25J9/16 ,  B25J11/00 ,  B25J13/00 ,  B25J13/08

CPC classification number: B25J9/1697 ,  B25J9/161 ,  B25J9/163 ,  B25J9/1658 ,  B25J9/1664 ,  B25J11/0005 ,  B25J13/003 ,  B25J13/088

Abstract: The disclosure generally relates to methods and systems for enabling human robot interaction by cognition sharing which includes gesture and audio. Conventional techniques that use the gestures and the speech, require extra hardware setup and are limited to navigation in structured outdoor driving environments. The present disclosure herein provides methods and systems that solves the technical problem of enabling the human robot interaction with a two-step approach by transferring the cognitive load from the human to the robot. An accurate shared perspective associated with the task is determined in the first step by computing relative frame transformations based on understanding of navigational gestures of the subject. Then, the shared perspective transformed to the robot in the field view of the robot. The transformed shared perspective is then given to a language grounding technique in the second step, to accurately determine a final goal associated with the task.

公开(公告)号：US11526174B2

公开(公告)日：2022-12-13

申请号：US16894411

申请日：2020-06-05

Applicant: Tata Consultancy Services Limited

Inventor： Brojeshwar Bhowmick ,  Krishnam Madhava Krishna ,  Sriram Nochur Narayanan ,  Gourav Kumar ,  Abhay Singh ,  Siva Karthik Mustikovela ,  Saket Saurav

IPC: G05D1/02 ,  G05D1/10 ,  G05B13/02 ,  G05D1/00 ,  G06N3/04 ,  G06N3/08

Abstract: The disclosure herein generally relates to the field of autonomous navigation, and, more particularly, to a diverse trajectory proposal for autonomous navigation. The embodiment discloses a hierarchical network based diverse trajectory proposal for autonomous navigation. The hierarchical 2-stage neural network architecture maps the perceived surroundings to diverse trajectories in the form of trajectory waypoints, that an autonomous navigation system can choose to navigate/traverse. The first stage of the disclosed hierarchical 2-stage Neural Network architecture is a Trajectory Proposal Network which generates a set of diverse traversable regions in an environment which can be occupied by the autonomous navigation system in the future. The second stage is a Trajectory Sampling network which predicts a fine-grained trajectory/trajectory waypoint over the diverse traversable regions proposed by Trajectory Proposal Network.