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A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems

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TLDR
In this article, the authors present a holistic perspective on the state-of-the-art in the design of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems (sUAS).
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This article is published in Annual Reviews in Control.The article was published on 2021-11-25 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Guidance, navigation and control.

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Evaluation of the Stability Behavior of an Agricultural Unmanned Ground Vehicle

TL;DR: In this paper , the authors evaluated the stability of the DEDALO UGV for precision orchard and vineyard management with an empty and full tank, and the results of the experimental data were compared with the theoretical predicted results to validate the model.
Journal ArticleDOI

Unmanned aerial vehicles: Applications, techniques, and challenges as aerial base stations

TL;DR: This article provides key applications, challenges, and the technology used for the design and analysis of unmanned aerial vehicles as base stations in next generation wireless networks.
Journal ArticleDOI

Game Theoretic Approach for Robust Trajectory Tracking by a Multirotor

TL;DR: In this paper , the problem of precisely tracking a nominal trajectory by an under-actuated multirotor platform is formulated as a game against bounded external disturbances, measurement noise, and initial condition uncertainty.
Proceedings ArticleDOI

Autonomous Mobile Robot: Guidelines for a Simple Architecture

TL;DR: In this article , a simple architecture for an autonomous mobile robot is presented, and an allocation of competencies for its components is established, which can be used as a guideline for engineers working in the design of autonomous mobile robots.
Journal ArticleDOI

Experimental evaluation of event-triggered sliding mode control for trajectory tracking of a quadcopter

TL;DR: In this paper , an experimental assessment of event-triggered sliding mode control (ET-SMC) on a quadcopter for trajectory tracking is presented, and sufficient triggering conditions using Lyapunov analysis and a lower bound of inter-event time to avoid Zeno behaviour are derived to ensure robust stability.
References
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Book

Deep Learning

TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Proceedings ArticleDOI

Flocks, herds and schools: A distributed behavioral model

TL;DR: In this article, an approach based on simulation as an alternative to scripting the paths of each bird individually is explored, with the simulated birds being the particles and the aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course.
Book

Switching in Systems and Control

TL;DR: I. Stability under Arbitrary Switching, Systems not Stabilizable by Continuous Feedback, and Systems with Sensor or Actuator Constraints with Large Modeling Uncertainty.
Journal ArticleDOI

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

TL;DR: ORB-SLAM as discussed by the authors is a feature-based monocular SLAM system that operates in real time, in small and large indoor and outdoor environments, with a survival of the fittest strategy that selects the points and keyframes of the reconstruction.
Book

Planning Algorithms