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Related Experiment Video

Updated: May 30, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

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Swarm shepherding using bearing-only measurements.

Aiyi Li1, Masaki Ogura1,2, Naoki Wakamiya1

  • 1Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|January 29, 2025
PubMed
Summary
This summary is machine-generated.

This study shows swarm shepherding is possible using only bearing-only measurements, not precise sensing. This method requires minimal information for effective swarm guidance in robotics and biology.

Keywords:
bearing-only measurementsnonlinear dynamicsshepherding controlswarm systems

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Area of Science:

  • Robotics and Biological Systems
  • Swarm Intelligence
  • Control Theory

Background:

  • Shepherding is a swarm guidance method inspired by natural herding behaviors.
  • Existing shepherding research often assumes precise sensing capabilities for steering agents, which may not be feasible in real-world applications.
  • A gap exists between theoretical shepherding models and practical implementation due to sensing limitations.

Purpose of the Study:

  • To demonstrate the feasibility of swarm shepherding using only bearing-only measurements.
  • To explore the minimum information requirements for successful shepherding.
  • To develop and validate a bearing-only shepherding algorithm for single and multiple agents, including multi-swarm herding.

Main Methods:

  • Formulation of a bearing-only shepherding algorithm for a single agent.
  • Expansion of the algorithm to multiple agents and multi-swarm herding strategies.
  • Numerical simulations to evaluate algorithm effectiveness under diverse initial conditions and configurations.

Main Results:

  • Successful swarm shepherding demonstrated using only bearing-only measurements.
  • Determination of the minimum information requirements: moderate angular accuracy and limited inter-agent communication.
  • Validation of the algorithm's effectiveness across various scenarios through simulations.

Conclusions:

  • Swarm shepherding is achievable with simplified sensing (bearing-only measurements), bridging the gap between theory and practice.
  • The proposed algorithm provides insights into essential information for controlling swarm dynamics.
  • Potential applications include agriculture, search and rescue, and other fields utilizing swarm systems.