Systeme und Verfahren zur Anomaliedetektion und -Korrektur

Details

Veröffentlichungs-Nr.

EP4280174

Aktenzeichen

EP23173971

Anmeldetag

17. Mai 2023

Veröffentlichung

6. August 2025

Erteilung

6. August 2025

Rechtsraum

EP

IPC

G06V10/80G06T1/00G06V20/40G06F18/2433G06N3/02G06V10/82G06V20/64

Abstract

Conventional task planners assume that the task-plans provided are executable, hence these are not task-aware. Present disclosure alleviates the downward refinability assumption, that is, planning can be decomposed separate symbolic and continuous planning steps by introducing bi-level planning, a plan which is a series of actions that the robot needs to take to achieve the goal task is curated. Firstly, abstract symbolic actions are converted to continuous vectors and used therein to enable interaction with an environment. Images of objects placed in the environment are captured and concepts are learnt from the captured images and attributes of objects are detected. A hierarchical scene graph is generated from the concepts and attributes wherein the graph includes interpretable sub-symbolic representations and from these interpretable symbolic representations are obtained for identifying goal task. Anomalies are detected from the scene graph and robotic actions are generated to correct the detected anomalies.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete