4 accepted papers
Heterogeneous robot teams used in marine environments incur time-and-energy penalties when the marine vehicle has to halt the mission to allow the autonomous aerial vehicle to land for recharging. In this paper, we present a solution for this problem using a novel drag-aware model formulation which
In this paper, we address the problem of tracking high-speed agile trajectories for Unmanned Aerial Vehicles (UAVs), where model inaccuracies can lead to large tracking errors. Existing Nonlinear Model Predictive Controller (NMPC) methods typically neglect the dynamics of the low-level flight contro
Landing an unmanned aerial vehicle unmanned aerial vehicle (UAV) on top of an unmanned surface vehicle (USV) in harsh open waters is a challenging problem, owing to forces that can damage the UAV due to a severe roll and/or pitch angle of the USV during touchdown. To tackle this, we propose a novel
Robotic modular systems have the ability to create and break physical links to self-assemble larger custom robots for general tasks. In case of changes in the task or the environment, they can dynamically self-adapt by self-reconfiguring during the mission. However, applying these concepts to flying