Entrotaxis as a strategy for autonomous search and source reconstruction in turbulent conditions
Reads0
Chats0
TLDR
This paper compares the performance and search behaviour of Entrotaxis with the popular Infotaxis algorithm, for searching in sparse and turbulent conditions where typical gradient-based approaches become inefficient or fail, and achieves a faster mean search time.About:
This article is published in Information Fusion.The article was published on 2018-07-01 and is currently open access. It has received 63 citations till now. The article focuses on the topics: Particle filter & Monte Carlo method.read more
Citations
More filters
Journal ArticleDOI
Odor source localization algorithms on mobile robots: A review and future outlook
Xinxing Chen,Jian Huang +1 more
TL;DR: A literature review of robotic odor source localization algorithms, which can be roughly divided into four categories: gradient-based algorithms, bio-inspired algorithms, multi-robot algorithms and probabilistic and map- based algorithms.
Journal ArticleDOI
Source term estimation of a hazardous airborne release using an unmanned aerial vehicle
TL;DR: A method to estimate the source term of a gaseous release using measurements of concentration obtained from an unmanned aerial vehicle (UAV) is described, and Bayes’ theorem is implemented using a sequential Monte Carlo algorithm.
Journal ArticleDOI
Experiments in unmanned aerial vehicle/unmanned ground vehicle radiation search
John A. Peterson,Weilin Li,Brian Cesar-Tondreau,John Bird,Kevin Kochersberger,Wojciech Czaja,Morgan McLean +6 more
Journal ArticleDOI
Bayesian Reinforcement Learning for Multi-Robot Decentralized Patrolling in Uncertain Environments
TL;DR: A scalable decentralized online learning and planning algorithm is proposed by extending the Monte Carlo tree search method, which computes patrols that are bounded optimal and is able to achieve high performance in typical decentralized patrolling scenarios.
References
More filters
Book
Beyond the Kalman Filter: Particle Filters for Tracking Applications
TL;DR: Part I Theoretical concepts: introduction suboptimal nonlinear filters a tutorial on particle filters Cramer-Rao bounds for nonlinear filtering and tracking applications: tracking a ballistic object bearings-only tracking range- only tracking bistatic radar tracking targets through blind Doppler terrain aided tracking detection and tracking of stealthy targets group and extended object tracking.
Journal ArticleDOI
Lévy flight search patterns of wandering albatrosses
Gandhimohan. M. Viswanathan,Vsevolod Afanasyev,Sergey V. Buldyrev,Eugene J. Murphy,P. A. Prince,H. E. Stanley +5 more
TL;DR: In this article, the authors study the foraging behavior of the wandering albatross Diomedea exulans and find a power-law distribution of flight-time intervals.
Journal ArticleDOI
Chemotaxis in bacteria.
TL;DR: These results show that E. coli is chemotactic toward oxygen and energy sources such as galactose, glucose, aspartic acid, threonine, or serine and that chemotaxis allows bacteria to find that environment which provides them with the greatest supply of energy.
Book
An introduction to geophysical exploration
TL;DR: The principles and limitations of geophysical exploration methods are discussed in this paper, where the authors present a survey of the basic geophysical data processing techniques for geophysical fieldwork, including seismic reflection, magnetic survey, and geophysical Borehole Logging.
Journal Article
Chemotaxis in bacteria.
TL;DR: Motile Escherichia coli placed at one end of a capillary tube containing an energy source and oxygen migrate out into the tube in one or two bands, which can also be demonstrated by photography, microscopy, and densitometry and by assaying for bacteria throughout the tube as discussed by the authors.