Adaptation of the Tandem Running Algorithm to Control a Robot Swarm
Fedir Abramov, Olga Andreieva, Oleksandr Andreiev, Tetiana Diachenko, Iana Maksymenko
- Year
- 2022
- Citations
- 2
Abstract
In the work the prospects for using the tandem running algorithm to control a robot swarm is studied. The main advantages and disadvantages of the tandem running algorithm were highlighted, which determine the potential scope of its application. With the help of computer simulations, it was proved that the tandem running algorithm, although it is inferior in speed to the adaptive ant algorithm, allows information to be spread among all members of the swarm. It is shown that the algorithm of tandem running is most expedient to use in the case of the need to mobilize a small number of robots that have to carry out a small number of raids.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002