Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Proceedings of the 21st international conference on Software engineering
Communications of the ACM
JADE: a FIPA2000 compliant agent development environment
Proceedings of the fifth international conference on Autonomous agents
The JEDI Event-Based Infrastructure and Its Application to the Development of the OPSS WFMS
IEEE Transactions on Software Engineering
From design to intention: signs of a revolution
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
JavaSpaces Principles, Patterns, and Practice
JavaSpaces Principles, Patterns, and Practice
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Coordination for Internet Application Development
Autonomous Agents and Multi-Agent Systems
Engineering Mobile Agent Applications via Context-Dependent Coordination
IEEE Transactions on Software Engineering
Engineering Infrastructures for Mobile Organizations
ESAW '01 Proceedings of the Second International Workshop on Engineering Societies in the Agents World II
Using the Electric Field Approach in the RoboCup Domain
RoboCup 2001: Robot Soccer World Cup V
An XML-based Middleware for Peer-to-Peer computing
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Hi-index | 0.00 |
The complexity raised in modern software systems seems to be no longer affordable in terms of the abstractions and methodologies promoted by traditional approaches to computer science and software engineering and radically new approaches are required. This paper focuses on the problem of engineering the motion coordination of a large-scale multi-agent system, and proposes an approach that takes inspiration from the laws of physics. Our idea is to have the movements of agents driven by force fields, generated by the agents themselves and propagated via some infrastructure or by the agents in an ad-hoc way. A globally coordinated and self-organized behavior in the agent's movements can then emerge due to the interrelated effects of agents following the shape of the fields and dynamic fields re-shaping. The approach is presented and its effectiveness described with regard to a concrete case study in the area of urban traffic management.