A Graph-Based Formation Algorithm for Odor Plume Tracing

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Soares, JM (Author) Other; Aguiar, AP (Author) FEUP; Pascoal, AM (Author) Other; Martinoli, A (Author) Other

Conference proceedings International

Title: DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS

Pages: 255-269

12th International Symposium on Distributed Autonomous Robotic Systems (DARS)

Daejeon, SOUTH KOREA, NOV 02-05, 2015

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00K-50R

DOI: 10.1007/978-4-431-55879-8_18

Abstract (EN): Odor plume tracing is a challenging robotics application, made difficult by the combination of the patchy characteristics of odor distribution and the slow response of the available sensors. This work proposes a graph-based formation control algorithm to coordinate a group of small robots equipped with odor sensors, with the goal of tracing an odor plume to its source. This approach makes it possible to organize the robots in arbitrary and evolving formation shapes with the aim of improving tracing performance. The algorithm was evaluated in a high-fidelity submicroscopic simulator, using different formations and achieving quick convergence and negligible distance overhead in laminar wind flows.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15