Human Swarm

Human-swarm interaction (HSI) research focuses on developing effective methods for humans to control and collaborate with large groups of robots, addressing challenges in managing complex swarm behaviors and preventing operator overload. Current research emphasizes developing hybrid control architectures that blend centralized and decentralized approaches, incorporating intuitive interfaces like gesture recognition and neurofeedback for workload management, and employing advanced modeling techniques such as dynamic mode decomposition and formal methods to improve predictability and performance. This field is significant for advancing robotics in diverse applications, from environmental monitoring and search and rescue to industrial automation and defense, by enabling safer, more efficient, and scalable human-robot teaming.