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:
Oct. 22, 2024

Filed:

Dec. 13, 2021
Applicant:

Southeast University, Jiangsu, CN;

Inventors:

Hua Zhang, Jiangsu, CN;

Na Su, Jiangsu, CN;

Junbo Wang, Jiangsu, CN;

Assignee:

SOUTHEAST UNIVERSITY, Jiangsu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/644 (2024.01); B63B 79/40 (2020.01); G05D 101/15 (2024.01); G05D 109/30 (2024.01);
U.S. Cl.
CPC ...
G05D 1/644 (2024.01); B63B 79/40 (2020.01); G05D 2101/15 (2024.01); G05D 2109/30 (2024.01);
Abstract

The present invention discloses an intention-driven reinforcement learning-based path planning method, including the following steps: 1: acquiring, by a data collector, a state of a monitoring network; 2: selecting a steering angle of the data collector according to positions of surrounding obstacles, sensor nodes, and the data collector; 3: selecting a speed of the data collector, a target node, and a next target node as an action of the data collector according to an ε greedy policy; 4: determining, by the data collector, the next time slot according to the selected steering angle and speed; 5: obtaining rewards and penalties according to intentions of the data collector and the sensor nodes, and updating a Q value; 6: repeating step 1 to step 5 until a termination state or a convergence condition is satisfied; and 7: selecting, by the data collector, an action in each time slot having the maximum Q value as a planning result, and generating an optimal path. The method provided in the present invention can complete the data collection path planning with a higher probability of success and performance closer to the intention.


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