A bio-inspired spatial defence strategy for collective decision making in self-organized swarms

Abstract

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AI Driven Approaches in Swarm Robotics - A review

“…A protective mechanism based on the behavior of bees and clarifying its efficacy through a multi-agent model employing decision-making mechanisms was proposed by [10]. The results point out that the mechanism is effective in reaching an agreement and decreasing decision-making time.…”

“…This concise overview facilitates a comprehensive understanding of the diverse applications of AI in swarm robotics, alongside the testing environments and specific methodologies employed across the studies. -√ Large language model (LLM) [21] -√ RL algorithm [5] √ -Dueling Double Deep Q-Network (D3QN) [6] √ -Deep Learning Trained by Genetic Algorithm (DL-GA) [8] √ -3D StringNet herding [10] √ -Decision-making mechanisms [12] √ -Deep Imitation Reinforcement Learning (DIRL) [17] Augmented Lagrangian particle swarm optimization (ALPSO) [20] √ √ Automatic modular design approach (AutoMoDe) [24] Coordination -√ AudioLocNetv(deep learning module) [31] √ -Not specified [32] √ -End-to-end Neural Networks to train robots [27] √ -Mean-field feedback control [28] √ -Deep Neural Network (DNN) model [29] √ -variant of the crawling probabilistic road map motion planning algorithm [33] √ -distributed online reinforcement learning method [34] √ -coordination algorithm [51] Optimization -√ PSO algorithm [53] -√ streamlined algorithms [36] √ -Genetic algorithm (GA) [46] √ -Particle Swarm Optimization (PSO) [49] √ -Robot Bean Optimization Algorithm (RBOA) [50] √ -Automatic modular design method: AutoMoDe-Cedrata and AutoMoDe-Maple [52] √ -PPO algorithm [54] √ -Dijkstra algorithm [55] √ -WC and WET algorithms [44] √ √ Decentralized ergodic planning [35] Optimization and Navigation √ -YOLOv8 [41] √ -Quantum-based path-planning algorithm and Grover's search algorithm [42] √ -Genetic algorithms (GA) and Cellular automata techniques [9] √ -Mean-Field Control (MFC), deep reinforcement learning (RL), and collision avoidance algorithms [22] Optimization and Coordination √ -Knowledge-Based Neural Ordinary Differential Equations (KNODE) [23] √ -Surrogate models ...…”