Matthew E. Argyle

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—In this paper, we present a probabilistic path planning algorithm for tracking a moving ground target in urban environments using UAVs in cooperation with UGVs. The algorithm takes into account vision occlusions due to obstacles in the environments. The target state is modeled using a dynamic occupancy grid and the probability of the target location is(More)
— Over the years many aircraft designs have been developed that attempt to merge the endurance and speed of fixed wing aircraft with the flexibility and vertical takeoff and landing abilities of rotor craft. The tail-sitter is one such design. Unlike most other designs, a tail-sitter requires no additional moving parts. However, it trades this mechanical(More)
— This paper presents a UAV path planning strategy for optimizing the return over a finite-time horizon, where the return is specified by a bounded differentiable reward function. We represent paths using a simulated chain in a force field, where the forces are influenced by the reward function. The chain adapts continuously to changes in the return(More)
— The tailsitter is a promising airframe that can take off and land on its tail and transition to level flight. While this ability provides vertical takeoff and landing capabilities with no additional moving parts, it introduces interesting control challenges. In this paper, we look at the attitude control system of a tailsitter in hover flight and show(More)
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