We survey the recent work on micro unmanned aerial vehicles (UAVs), a fast-growing field
in robotics, outlining the opportunities for research and applications, along with the scientific …

Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairly straight-forward,
as expensive sensors and monitoring devices can be employed. In contrast, obstacle …

A fundamental aspect of autonomous vehicle guidance is planning trajectories. Historically,
two fields have contributed to trajectory or motion planning methods: robotics and dynamics …

Obtaining spatially separated, high‐frequency water samples from rivers and lakes is critical
to enhance our understanding and effective management of freshwater resources. In this …

This paper presents our solution for enabling a quadrotor helicopter, equipped with a laser
rangefinder sensor, to autonomously explore and map unstructured and unknown indoor …

We present a synthesis of techniques for rotorcraft UAV navigation through unknown
environments which may contain obstacles. D* Lite and probabilistic roadmaps are …

High speed, low latency obstacle avoidance is essential for enabling Micro Aerial Vehicles
(MAVs) to function in cluttered and dynamic environments. While other systems exist that do …

This paper presents a novel control strategy, which we call optiPilot, for autonomous flight in
the vicinity of obstacles. Most existing autopilots rely on a complete 6-degree-of-freedom …

This paper provides a survey of motion planning techniques under uncertainty with a focus
on their application to autonomous guidance of unmanned aerial vehicles (UAVs). The …

MILITARY combat of the future will become highly dependent on the use of unmanned aerial
vehicles (UAVs). In recent years, there has been rapid development in UAV technology such …