Communication Limited Environment

Communication-limited environments pose significant challenges for multi-agent systems, demanding robust algorithms for tasks like target tracking, exploration, and cooperative decision-making in the absence of reliable communication. Current research focuses on decentralized control strategies, leveraging techniques such as robust state estimation, control barrier functions, and biologically-inspired collective navigation (e.g., flocking algorithms) to achieve coordination with minimal or intermittent communication. These advancements are crucial for enabling autonomous operation in hazardous or remote areas, with applications ranging from environmental monitoring and disaster response to healthcare delivery and industrial inspection in challenging settings.