Multi-robot foraging has been widely studied in the literature, and the general assumption is that the robots are simple, i.e., with limited processing and carrying capacity. We previously studied continuous foraging with slightly more capable robots, and in this article, we are interested in using similar robots for item delivery. Interestingly, item delivery and foraging are two sides of the ...

Bucket brigade foraging improves upon homogeneous foraging by reducing spatial interference between robots, which occurs when robots are forced to work in the same space, and must spend time avoiding one another instead of carrying out useful work. Bucket brigade foraging algorithms restrict the motion of each robot to at most some fixed distance from its starting location. We reproduce the per...

Glossary Autonomy In robotics autonomy conventionally refers to the degree to which a robot is able to make its own decisions about which actions to take next. Thus a fully autonomous robot would be capable of carrying out its entire mission or function without human control or intervention. A semi-autonomous robot would have a degree of autonomy but require some human supervision. Behaviour-ba...

because of high speed, efficiency, robustness and flexibility of multi-agent systems, in recent years there has been an increasing interest in the art of these systems. in competitive multi agent systems, a mechanism is required via which the agents can come to reach an agreement.  contract net protocols are one of the well-known negotiation protocols in multi-agent systems. in contract net pro...

OBJECTIVE The number of robots an operator can supervise increases with the robots' level of autonomy. The reported study investigates multirobot foraging to identify aspects of the task most suitable for automation. BACKGROUND Many envisioned applications of robotics involve multirobot teams. One of the simplest of these applications is foraging, in which robots are operated independently to...

Individual robots are not effective at exploring large unmapped areas. An alternate approach is to use a swarm of simple robots that work together, rather than a single highly capable robot. The central-place foraging algorithm (CPFA) is effective for coordinating robot swarm search and collection tasks. Robots start at a centrally placed location (nest), explore potential targets in the area w...

This paper investigates the foraging of multiple robots in completely unknown environments. The onboard robot sensor information and expert knowledge of foraging are used to forage the targets. The foraging problem in this paper is defined as a searching task, where the robots cooperate to find and reach all the targets in an efficient way. A novel fuzzy-logic based chaos genetic algorithm (FCG...

Deploying large numbers of mobile robots which can interact with each other produces swarm intelligent behavior. However, mobile robots are normally running with finite energy resource, supplied from finite battery. The limitation of energy resource required human intervention for recharging the batteries. The sharing information among the mobile robots would be one of the potentials to overcom...

Ants use individual memory and pheromone communication to achieve effective collective foraging. We implement these strategies as distributed search algorithms in robotic swarms. Swarms of simple robots are robust, scalable and capable of exploring for resources in unmapped environments. We test the ability of individual robots and teams of three robots to collect tags distributed at random and...