Logo Goletty

Potential field aided navigation path planning algorithm
Journal Title Advances in Computer Science and its Applications
Journal Abbreviation ACSA
Publisher Group World Science Publisher
Website http://worldsciencepublisher.org/journals/
PDF (304 kb)
   
Title Potential field aided navigation path planning algorithm
Authors Lu, Zeyuan
Abstract In potential field aided navigation, optimal trajectories is an important task. The decision system is a key component of optimal trajectories. Designing the way in which decisions are taken and the path length in decision making will influence the whole performance. When classical algorithm need complete and precise models of the working space, and in many real scenarios their application is not available. Thus, model free methods for path planning under uncertainty are favorable choice. This paper uses Dyna-H algorithm in potential field aided navigation. The Dyna-H algorithm chooses branches more likely to produce good outcomes than other branches. and it is also a model free online reinforcement learning algorithm. The result of simulation shows that the navigation error of the planned path is less than that of arbitrary path. Improved A* path plan algorithm could enhance the performance of gravity aided
Publisher World Science Publisher
Date 2012-02-20
Source 2166-2924
Rights Copyright NoticeProposed Creative Commons Copyright Notices1. Proposed Policy for Journals That Offer Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).Proposed Policy for Journals That Offer Delayed Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

See other article in the same Issue


Goletty © 2024