The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

The field of swarm robotics has been researched for the last few decades to mimic the
capability and the intelligence of biological insects and animals that possess social …

The objective of area exploration is to traverse the area effectively and random walk
methods are the most commonly used searching strategy for swarm robots. Existing …

An environment can be searched far more efficiently if the appropriate search strategy is
used. Because of the limited individual abilities of swarm robots, namely, local sensing and …

Inspired by the behaviour of animal populations in nature, we propose a novel exploration
algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended …

In this paper, we propose a probabilistic consensus-based multi-robot search strategy that is
robust to communication link failures, and thus is suitable for disaster affected areas. The …

In this article, we propose a controller that can coordinate a swarm of robots to cover a
region persistently by forming a mobile sensor network. Therefore, the robot swarm can …

In this paper, a form of steering a swarm of robots is presented using behavior local rules
that depends on four parameters. These parameters are related with a general model of the …

Robotics promises great benefits for human beings, both at the industrial level and
concerning personal services. This has led to the continuous development and research in …

The path planning is one of the most important areas in robotics. Particularly in static
environments, there are different algorithms that provide important solutions to this problem …