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:
Aug. 11, 2026

Filed:

Dec. 07, 2023
Applicant:

Robert Bosch Gmbh, Suttgart, DE;

Inventors:

Pongtep Angkititrakul, Dublin, CA (US);

Jonathan Francis, Pittsburgh, PA (US);

Luca Bondi, Pittsburgh, PA (US);

Samarjit Das, Wexford, PA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/243 (2024.01); G01S 3/80 (2006.01); G01S 15/89 (2006.01); G10L 15/02 (2006.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 21/0208 (2013.01); H04R 1/02 (2006.01); H04R 1/40 (2006.01); H04R 3/00 (2006.01); G05D 105/10 (2024.01); G05D 111/20 (2024.01);
U.S. Cl.
CPC ...
G05D 1/243 (2024.01); G01S 3/80 (2013.01); G01S 15/89 (2013.01); G10L 15/02 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 21/0208 (2013.01); H04R 1/028 (2013.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); G05D 2105/10 (2024.01); G05D 2111/20 (2024.01); G10L 2015/223 (2013.01);
Abstract

A mobile robot includes a microphone array with a set of microphones. The microphone array is at least partially disposed on the mobile robot. The mobile robot receives audio signals from the microphone array. Audio feature data of acoustic activity is extracted from the audio signals. Direction of arrival (DOA) data of the acoustic activity is generated based on the audio signals. A machine learning model is configured to generate audio event data using the audio feature data. The audio event data identifies at least one sound source of the audio feature data. A knowledge graph is queried using the audio event data to obtain entity data. The entity data has a predetermined relation with the audio event data. Semantic audio scene data is generated using the audio event data, the DOA data, and the entity data. The mobile robot performs an action based on the semantic audio scene data.


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