Title :
Distributed source seeking by cooperative robots: All-to-all and limited communications
Author :
Li, Shuai ; Guo, Yi
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
We consider the problem of source seeking using a group of mobile robots equipped with sensors for concentration measurement (instead of the gradient). In our formulation, each robot maintains a gradient estimation, moves to the source by tracing the gradient, and all together keep a predefined formation in movement. We present two control algorithms with all-to-all and limited communications, respectively. The estimation error is taken into account to derive robust control algorithms. Comparing to existing methods, the proposed algorithm with limited communications is fully distributed. Both theoretical analysis and numerical simulations are given to validate the effectiveness of our methods.
Keywords :
distributed algorithms; mobile robots; multi-robot systems; numerical analysis; robust control; sensors; all-to-all communications; concentration measurement; cooperative robots; distributed source seeking; gradient estimation; gradient tracing; limited communications; mobile robots; numerical simulations; robust control algorithms; sensors; Algorithm design and analysis; Equations; Estimation; Heuristic algorithms; Robot sensing systems; Vectors;
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
DOI :
10.1109/ICRA.2012.6224713