公开(公告)号：US20210208581A1

公开(公告)日：2021-07-08

申请号：US16988453

申请日：2020-08-07

Applicant: Tata Consultancy Services Limited

Inventor： Abhijan BHATTACHARYYA ,  Ashis SAU ,  Ruddra Dev ROYCHOUDHURY ,  Hrishav Bakul BARUA ,  Chayan SARKAR ,  Sayan PAUL ,  Brojeshwar BHOWMICK ,  Arpan PAL ,  Balamuralidhar PURUSHOTHAMAN

IPC: G05D1/00 ,  H04L29/08 ,  G05D1/02

Abstract: Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.

公开(公告)号：US20240013538A1

公开(公告)日：2024-01-11

申请号：US18207836

申请日：2023-06-09

Applicant: Tata Consultancy Services Limited

Inventor： Chayan SARKAR ,  Pradip PRAMANICK ,  Brojeshwar BHOWMICK ,  Ruddra Dev ROYCHOUDHURY ,  Sayan PAUL

IPC: G06V20/50 ,  G06F40/284 ,  G06F40/205 ,  G06F40/40 ,  G06T15/00 ,  G06V10/764

CPC classification number: G06V20/50 ,  G06F40/284 ,  G06F40/205 ,  G06F40/40 ,  G06T15/00 ,  G06V10/764

Abstract: This disclosure addresses the unresolved problems of tackling object disambiguation task for an embodied agent. The embodiments of present disclosure provide a method and system for disambiguation of referred objects for embodied agents. With a phrase-to-graph network disclosed in the system of the present disclosure, any natural language object description indicating the object disambiguation task can be converted into a semantic graph representation. This not only provides a formal representation of the referred object and object instances but also helps to find an ambiguity in disambiguating the referred object using a real-time multi-view aggregation algorithm. The real-time multi-view aggregation algorithm processes multiple observations from an environment and finds the unique instances of the referred object. The method of the present disclosure demonstrates significant improvement in qualifying ambiguity detection with accurate, context-specific information so that it is sufficient for a user to come up with a reply towards disambiguation.