3 accepted papers
Achieving fluent flocking, similar to those observed in birds and fish, on robotic swarms in a desired direction while avoiding obstacles using onboard sensing and computation remains a challenge. In a previous study (Önür et al, Proc. of ANTS'2022), we proposed a predictive flocking model as a comp…
In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a given cue. In particular, we evaluated the impact…
Pheromone-based communication is one of the most effective ways of communication widely observed in nature. It is particularly used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its effectiveness; artificial pheromones have been adopte…