DocumentCode :
724491
Title :
Path planning algorithms for source seeking agents
Author :
Rui Zou ; Yan Tian ; Bhattacharya, Sourabh
Author_Institution :
Dept. of Mech. Eng., Iowa State Univ., Ames, IA, USA
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4865
Lastpage :
4870
Abstract :
In this paper, we address the problem of source-seeking for sources that transmit signals which decay according to a specific path loss model. This is typical for sources emitting electromagnetic signals. Based on this decay profile, we analyze the scenario where the seeker has partial knowledge about the equation that governs the decay profile. We present an approximate gradient descent based iterative algorithm for this case. We prove that the seeker converges to the source after traveling a finite distance. We also present a quantitative measure of the performance of our algorithm in terms of the number of measurements required by the seeker. Next, we extend the aforementioned algorithm to provide cooperative path planning algorithms for a team of seekers. Finally, we provide simulation results that show the effectiveness of the algorithms.
Keywords :
iterative methods; mobile robots; path planning; autonomous agent; cooperative path planning algorithm; electromagnetic signal; iterative algorithm; path loss model; source seeking agent; Manganese; Mechanical engineering; Mobile robots; Robot sensing systems; Tin; Trajectory; Autonomous Agents; Path Planning; Source Seeking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162795
Filename :
7162795
Link To Document :
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