Agent Swarm

Agent swarms research explores the collective behavior of multiple autonomous agents working together to achieve a common goal, focusing on optimizing coordination and communication efficiency, even under challenging conditions like limited bandwidth or unreliable networks. Current research investigates diverse applications, from precision agriculture (e.g., pollination robots) to large-scale deep learning model training (using novel parallel algorithms like SWARM), and search-and-rescue operations (employing bio-inspired algorithms). This field is significant for its potential to improve efficiency and robustness in various domains, ranging from robotics and computing to environmental monitoring and disaster response.