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:
Jun. 23, 2026

Filed:

Jun. 17, 2024
Applicant:

Clutterbot, Inc., Claymont, DE (US);

Inventors:

Mahaveer Suthar, Bangalore, IN;

Akash Jadhav, Kingston, CA;

Justin David Hamilton, Wellington, NZ;

Shantanu Singh, Bangalore, IN;

Dhruv Krishna, Bangalore, IN;

Assignee:

Clutterbot, Inc., Claymont, DE (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/246 (2024.01); A47L 11/40 (2006.01); G01S 17/86 (2020.01); G01S 17/89 (2020.01); G05D 1/245 (2024.01); G05D 105/10 (2024.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G05D 1/2464 (2024.01); A47L 11/4011 (2013.01); A47L 11/4036 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G05D 1/245 (2024.01); G05D 1/2465 (2024.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/764 (2022.01); G06V 10/803 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); A47L 2201/04 (2013.01); G05D 2105/10 (2024.01);
Abstract

A method and apparatus are disclosed for a clutter tidying robot utilizing floor segmentation for its mapping and navigation system, whereby a perception module and navigation module transform lidar and image data from lidar sensors and cameras of a robot sensing system using segmentation and pseudo-laserscan or point cloud transformations to generate global and local maps. The robot pose and maps are transmitted to a robot brain that directs an action module to produce robot action commands controlling the operation of a clutter tidying robot using the pose and map data. In this manner multi-stage planning and sophisticated obstacle avoidance techniques may be incorporated into autonomous robot operations.


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