Planner-Guided Robot Swarms
| Autor: | Sean Luke, Michael Schader |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Distributed computing Serialization ComputingMethodologies_MISCELLANEOUS MathematicsofComputing_NUMERICALANALYSIS Swarm robotics Swarm behaviour 02 engineering and technology Planner ComputingMethodologies_ARTIFICIALINTELLIGENCE 020202 computer hardware & architecture 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Robot 020201 artificial intelligence & image processing Single agent Swarm behavior computer computer.programming_language |
| Zdroj: | Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection ISBN: 9783030497774 PAAMS |
| Popis: | Robot swarms have many virtues for large-scale task execution: this includes redundancy, a high degree of parallel task implementation, and the potential to jointly complete jobs that a single agent could not do. But because of their distributed nature, robot swarms face challenges in large-scale coordination, task serialization or ordering, and synchronization. We investigate the use of a central automated planner to guide a robot swarm to perform complicated, multistep operations normally beyond the capabilities of purely decentralized swarms. The planner orchestrates the actions of task groups of agents, while preserving swarm virtues, and can operate over a variety of swarm communication and coordination modalities. We demonstrate the effectiveness of the technique in simulation with three swarm robotics scenarios. |
| Databáze: | OpenAIRE |
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