Simultaneous Interception

Simultaneous interception research focuses on developing strategies and control algorithms enabling multiple autonomous agents, often drones or robots, to cooperatively intercept a target at a predetermined time. Current research emphasizes robust control methods like image-based visual servoing and cooperative guidance schemes, often incorporating advanced filtering techniques (e.g., Kalman filters, IMM filters) to handle noisy sensor data and target maneuvers. This field is significant for applications ranging from counter-drone technology and aerial robotics to sports robotics and industrial automation, driving advancements in real-time control, multi-agent coordination, and sensor fusion.