Centralized sensing and control of multiple mobile robots
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Evolving collective behavior in an artificial ecology
Artificial Life
Efficient and inefficient ant coverage methods
Annals of Mathematics and Artificial Intelligence
Autonomous Robots
Self-Organization in Biological Systems
Self-Organization in Biological Systems
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
A Distributed Feedback Mechanism to Regulate Wall Construction by a Robotic Swarm
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Collective Robotic Site Preparation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Extended Stigmergy in Collective Construction
IEEE Intelligent Systems
Particle swarm-based olfactory guided search
Autonomous Robots
Cooperative Cleaners: A Study in Ant Robotics
International Journal of Robotics Research
Collaborative coverage using a swarm of networked miniature robots
Robotics and Autonomous Systems
Stochastic strategies for a swarm robotic assembly system
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Emergence of collective behavior in evolving populations of flying agents
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Pheromone robotics and the logic of virtual pheromones
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
PSO and ACO in optimization problems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
| Hi-index | 0.00 |
In this paper, a virtual swarm intelligence VSI-based algorithm is proposed to coordinate a distributed multi-robot system for a collective construction task. Three phases are involved in a construction task: search, detect, and carry. Initially, robots are randomly located within a bounded area and start random search for building blocks. Once the building blocks are detected, agents need to share the information with their local neighbors. A distributed virtual pheromone-trail DVP based model is proposed for local communication among agents. If multiple building blocks are detected in a local area, agents need to make decisions on which agents should carry which blocks. To this end, a virtual particle swarm optimization V-PSO-based model is developed for multi-agent behavior coordination. Furthermore, a quorum sensing QS-based model is employed to balance the tradeoff between exploitation and exploration, so that an optimal overall performance can be achieved. Extensive simulation results on a collective construction task have demonstrated the efficiency and robustness of the proposed VSI-based framework.