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:
Mar. 03, 2026

Filed:

Mar. 11, 2024
Applicants:

Mohammad Ashiqur Rahman, Miami, FL (US);

Alvi Ataur Khalil, Miami, FL (US);

Inventors:

Mohammad Ashiqur Rahman, Miami, FL (US);

Alvi Ataur Khalil, Miami, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/46 (2024.01); G05D 101/15 (2024.01); G05D 105/35 (2024.01);
U.S. Cl.
CPC ...
G05D 1/46 (2024.01); G05D 2101/15 (2024.01); G05D 2105/35 (2024.01);
Abstract

Systems, frameworks, and methods for reinforcement learning (RL)-based real-time path planning for unmanned aerial vehicles (UAVs) are provided. The learning capabilities of federated learning (FL) can be integrated with an improved deep RL framework, including using a significant reply memory buffer (SRMB) to accelerate the intelligent behavior. The framework can train a UAV to intelligently dodge static and dynamic defense systems and achieve assigned goals (e.g., in a hostile area). The FL can enable collaborative learning through a swarm of UAV agents.


Find Patent Forward Citations

Rahman, Mohammad. (2026). Federated deep reinforcement learning-assisted uav trajectory planning against hostile defense system (U.S. Patent No. 12566450). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12566450

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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