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A Generic Multi-Layer Architecture Based on ROS-JADE Integration for Autonomous Transport Vehicles.

Jon Martin1, Oskar Casquero2, Brais Fortes3

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Summary

Autonomous Transport Vehicles (ATVs) gain social abilities for flexible manufacturing through a novel architecture integrating robotic frameworks with Multi-Agent Systems (MAS). This enables intelligent peer-to-peer interaction for dynamic process reconfiguration.

Keywords:
AGVATVJADEROSflexible manufacturingmulti-agent systemsrobotic frameworktransportation systems

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Area of Science:

  • Manufacturing Systems Engineering
  • Robotics
  • Artificial Intelligence

Background:

  • Manufacturing systems require reconfiguration due to dynamic changes like equipment failure or urgent orders.
  • Autonomous Transport Vehicles (ATVs) are crucial for flexible and decentralized manufacturing.
  • Existing robotic frameworks for ATVs lack the social abilities needed for intelligent interaction with other systems.

Purpose of the Study:

  • To develop a generic multi-layer architecture enabling social abilities for ATVs.
  • To facilitate intelligent interaction among heterogeneous Cyber Physical Production Systems for manufacturing reconfiguration.
  • To integrate robotic frameworks (RFs) with Multi-Agent Systems (MAS) for enhanced ATV functionality.

Main Methods:

  • Proposed a novel multi-layer architecture integrating a robotic framework (RF) with a Multi-Agent System (MAS).
  • Implemented the architecture using ROS (Robotic Operating System) and JADE (Java Agent DEvelopment Framework).
  • Focused on enabling peer-to-peer negotiation and decision-making capabilities for ATVs.

Main Results:

  • Successfully integrated a RF with a MAS to provide social abilities to ATVs.
  • Demonstrated the architecture's capability for intelligent interaction in flexible manufacturing.
  • The implementation on ROS and JADE validates the proposed approach.

Conclusions:

  • The developed architecture provides a holistic solution for intelligent interaction of transportation systems in flexible manufacturing.
  • This integration enhances ATVs' ability to participate in dynamic manufacturing reconfiguration.
  • This work represents a significant advancement in creating adaptable and intelligent factory environments.