Robot path planning is essential to identify the most feasible path between a start point and goal point by avoiding any collision in the given environment. This task is an NP-hard …
Distributed intelligence is a well-known approach for optimizing interactions among numerous smart devices that interconnect and operate together as Internet of Things (IoT) …
The present paper applies a heuristic and genetic algorithms approaches to the path planning problem for Unmanned Aerial Vehicles (UAVs), during an emergency landing …
T Shi, H Wang, C Zhang - Expert Systems with Applications, 2015 - Elsevier
This paper proposes a non-invasive Electroencephalogram (EEG)-based Brain Computer Interface (BCI) system to achieve the easy-to-use and stable control of a low speed …
AL Alfeo, MGCA Cimino, N De Francesco… - Journal of computational …, 2018 - Elsevier
A swarm of autonomous drones with self-coordination and environment adaptation can offer a robust, scalable and flexible manner to localize objects in an unexplored, dangerous or …
This paper proposes a hybrid method to define a path planning for unmanned aerial vehicles in a non-convex environment with uncertainties. The environment becomes non …
Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of …
This article presents the development of a UAV system designed to perform visual inspections and thickness measurements in ships' cargo tanks. That includes the conception …