Anawat Pongpunwattana

Learn More
During the spring and summer of 2005, the autonomous flight systems laboratory at the University of Washington and Boeing St. Louis developed and flight tested control software for the Boeing multi-vehicle UAV Testbed. The goal of this collaboration was to demonstrate the ability of a team of UAVs to autonomously allocate a set of targets among the team and(More)
In a highly dynamic environment, an adaptive real-time mission planner is essential for controlling a team of autonomous vehicles to execute a set of assigned tasks. The optimal plan computed prior to the start of the operation might be no longer optimal when the vehicles execute the plan. This paper proposes a framework and algorithms for solving real-time(More)
This paper presents a study which extends previous work on collective motion control of a group of vehicles for target tracking. The approach is to drive the group centroid to follow a moving target while keeping all vehicles near the centroid. The provided analysis shows that the system is stable. However, the tracking performance is sensitive to imperfect(More)
  • 1