Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Intelligence without representation
Artificial Intelligence
Social potential fields: a distributed behavioral control for autonomous robots
WAFR Proceedings of the workshop on Algorithmic foundations of robotics
An Behavior-based Robotics
Robot Motion Planning
A Hierarchy of Reactive Behaviors Handles Complexity
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Using the Electric Field Approach in the RoboCup Domain
RoboCup 2001: Robot Soccer World Cup V
Impact of tactical variations in the RoboCup four-legged league
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
A signal based approach to artificial agent modeling
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Harmonic opponent modeling and behavior structure for 3D soccer simulation agent
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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This paper describes a behavior-based architecture which integrates existing potential field approaches concerning motion planning as well as the evaluation and selection of actions into a single architecture. This combination allows, together with the concept of competing behaviors, the specification of more complex behaviors than the usual approach which is focusing on behavior superposition and is mostly dependent on additional external mechanisms. The architecture and all methods presented in this paper have been implemented and applied to different robots.