Abstract—Swarm Robotics is an emerging field which focuses on controlling the behavior of groups of Robots which allows a group to perform seemingly complex tasks while having simple individual behaviors. Group behavior among animals have evolved over the course of time influenced by the environment and the need for survival. Due to the simplicity of the nervoussystem in social animals like ants, fish, etc., the individuals in a group perform basic tasks and follow elementary rules which give rise to a group behavior. Aligning the direction of motion along which a preceding animal is heading can give rise to correlation and hence ordered behavior in a group. This is implemented in a group of Robots which are easy to design and construct having few sensors and run small controller programs. The individual Robots follow straightforward rules and perform simple actions giving rise to a correlated behavior as a group which finds application in fire-fighting. The multi-Robot system is simulated in Webots and the results are promising and can be adopted in real time environment.
Index Terms—Swarm robotics, correlation, ad-hoc Networks, we bots.
Alice Abraham is with University Visvesvayraya College of Engineering,
Bangalore, India (email: email@example.com).
Narendra Kumar G. is with University Visvesvaraya College of Engineering, Bangalore University, Karnataka, India (e-mail: firstname.lastname@example.org)
Jeson Kamalnath R., Naresh T., Ashutosh Tripathy, Samarth Bharani are with the Department of Electronics and Communication, University Visvesvaraya College of Engineering, Bangalroe,
Cite: Alice Abraham, Jeson Kamalnath R., Naresh T., Ashutosh Tripathy, Samarth Bharani, and Narendra Kumar G., "Bio-Inspired Correlation in a Multi-Robot System," International Journal of Future Computer and Communication vol. 2, no. 1 pp. 36-40, 2013.