The use of a swarm of autonomous robots for simulated bushfire fighting is studied in this work. A distributed and behavioral control strategy, the Ants based Control of Swarm Robots (ACSR), is proposed. In this approach, each fire fighting robot can operate independently from decentralized controllers and the goal is accomplished by the individual robot's own ability. In particular, improvements on the conventional Ant System path planning method are made which enables the ACSR capable of tackling multiple goal problems. The ACSR is evaluated in the simulation of a bushfire fighting scenario comprising of forty swarm robots and multiple fire fronts. It is shown that swarm robots using ACSR are able to locate and extinguish fire efficiently...
Purpose: Swarm controlled emergence is proposed as an approach to control emergent effects in (artif...
Swarms of flying robots can be used in disaster areas to autonomously create communication networks ...
The mine detection in an unexplored area is an optimization problem where multiple mines, randomly d...
Swarm Intelligence (SI) is concerned with the collective behaviour that emerges from decentralised s...
Swarm intelligence is a form of artificial intelligence that is inspired by behavior exhibited by so...
This paper describes the modeling, implementation, and evaluation of RoBombeiros multirobotic system...
In a variety of emergency settings robot assistance has been identified as highly valuable, providin...
Abstract—In a variety of emergency settings robot assistance has been identified as highly valuable,...
Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of appli...
In this paper, we propose an algorithm for controlling a fleet of swarm robots that construct three-...
Tasks that require parallelism, redundancy, and adaptation to dynamic, possibly hazardous environmen...
In this paper we investigate coordination principles inspired by the behaviour of honeybees and ants...
In this paper we investigate coordination principles inspired by the behaviour of honeybees and ants...
Swarms of autonomous and coordinating Unmanned Aerial Vehicles (UAVs) are rapidly being developed to...
There are several application scenarios where multiple robots can be used to attain goals otherwise ...
Purpose: Swarm controlled emergence is proposed as an approach to control emergent effects in (artif...
Swarms of flying robots can be used in disaster areas to autonomously create communication networks ...
The mine detection in an unexplored area is an optimization problem where multiple mines, randomly d...
Swarm Intelligence (SI) is concerned with the collective behaviour that emerges from decentralised s...
Swarm intelligence is a form of artificial intelligence that is inspired by behavior exhibited by so...
This paper describes the modeling, implementation, and evaluation of RoBombeiros multirobotic system...
In a variety of emergency settings robot assistance has been identified as highly valuable, providin...
Abstract—In a variety of emergency settings robot assistance has been identified as highly valuable,...
Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of appli...
In this paper, we propose an algorithm for controlling a fleet of swarm robots that construct three-...
Tasks that require parallelism, redundancy, and adaptation to dynamic, possibly hazardous environmen...
In this paper we investigate coordination principles inspired by the behaviour of honeybees and ants...
In this paper we investigate coordination principles inspired by the behaviour of honeybees and ants...
Swarms of autonomous and coordinating Unmanned Aerial Vehicles (UAVs) are rapidly being developed to...
There are several application scenarios where multiple robots can be used to attain goals otherwise ...
Purpose: Swarm controlled emergence is proposed as an approach to control emergent effects in (artif...
Swarms of flying robots can be used in disaster areas to autonomously create communication networks ...
The mine detection in an unexplored area is an optimization problem where multiple mines, randomly d...