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Research Frontiers in Fish Schooling Swarm Robotics Algorithms

Implementation of collective behavior principles from fish schools into multi-agent robotic systems for coordinated navigation.

Hydrodynamic Drafting in Robotic Fish Formations
Lateral Line Sensing for Distributed Swarm Navigation
Emergent Schooling Without Explicit Communication Protocols
Predator Evasion Through Collective Behavioral Morphing
Biomimetic Fin Actuation in Multi-Agent Coordination
Decentralized Decision-Making in Fluid Dynamic Constraints
Sensorimotor Feedback Loops in Synthetic Fish Collectives
Energy Efficiency Through Collective Hydrodynamic Optimization
Information Flow in Bio-Inspired Acoustic Swarms
Adaptive School Geometry Under Environmental Perturbations

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