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Multi-Robot Coordination Analysis, Taxonomy, Challenges and Future Scope.

Janardan Kumar Verma1, Virender Ranga1

  • 1Department of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana 136119 India.

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Summary
This summary is machine-generated.

This study explores Multi-Robot Systems (MRS) coordination, analyzing current approaches and parameters. It proposes a new taxonomy to classify coordination strategies for enhanced MRS efficiency in various applications.

Keywords:
CooperationCoordinationExploration and mappingMulti-robot motion planningMulti-robot systemMulti-robot task planningObject transport and manipulationTarget observation

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Multi-Robot Systems (MRS) are increasingly recognized for their efficiency and diverse real-world applications.
  • Effective coordination is crucial for maximizing the performance and capabilities of MRS.

Purpose of the Study:

  • To provide a comprehensive review of MRS coordination strategies.
  • To identify strengths, limitations, and future research directions in MRS coordination.
  • To propose a novel taxonomy for classifying MRS coordination approaches.

Main Methods:

  • Extensive literature review of recent contributions in MRS coordination.
  • Analysis of key parameters affecting MRS coordination, including communication, planning, control, scalability, and decision-making.
  • Development of a new six-dimensional taxonomy for categorizing coordination approaches.

Main Results:

  • Identified strengths, limitations, and open research issues in current MRS coordination techniques.
  • Examined the impact of various parameters on MRS coordination effectiveness.
  • Proposed a new classification system for diverse MRS coordination strategies.

Conclusions:

  • Coordination is vital for MRS efficiency across applications like exploration, object transport, and target tracking.
  • The proposed taxonomy offers a structured framework for understanding and advancing MRS coordination.
  • Further research is needed to address identified limitations and explore future scopes in MRS coordination.