Natural Swarm

Natural swarm research focuses on understanding and replicating the collective behaviors of biological swarms to design and control robotic swarms for diverse applications. Current research emphasizes decentralized control algorithms, often inspired by natural swarm dynamics, and utilizes deep learning models for tasks like autonomous navigation and task allocation in challenging environments. This field is significant for advancing robotics, particularly in areas like autonomous exploration, environmental monitoring, and cooperative task completion, with implications for both scientific understanding and practical technological development.