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Proceedings ArticleDOI

Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control

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TLDR
The Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control, a fleet of quadrotor helicopters, has been developed as a testbed for novel algorithms that enable autonomous operation of aerial vehicles to validate multiple algorithms such as reactive collision avoidance, collision avoidance through Nash Bargaining, path planning, cooperative search and aggressive maneuvering.
Abstract
The Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control, a fleet of quadrotor helicopters, has been developed as a testbed for novel algorithms that enable autonomous operation of aerial vehicles. The testbed has been used to validate multiple algorithms such as reactive collision avoidance, collision avoidance through Nash Bargaining, path planning, cooperative search and aggressive maneuvering. This article briefly describes the algorithms presented and provides references for a more in-depth formulation, and the accompanying movie shows the demonstration of the algorithms on the testbed.

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Journal ArticleDOI

Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems

TL;DR: The main objective of this paper is to present a comprehensive survey of RUAS research that captures all seminal works and milestones in each GNC area, with a particular focus on practical methods and technologies that have been demonstrated in flight tests.
Journal ArticleDOI

A Fully Autonomous Indoor Quadrotor

TL;DR: This paper presents a general navigation system that enables a small-sized quadrotor system to autonomously operate in indoor environments and systematically extend and adapt techniques that have been successfully applied on ground robots.
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A distributed minimum variance estimator for sensor networks

TL;DR: A distributed estimation algorithm for sensor networks is proposed, in which each node computes its estimate as a weighted sum of its own and its neighbors' measurements and estimates, and an upper bound of the error variance in each node is derived.
Journal ArticleDOI

MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle

TL;DR: The design of a system to emulate a flying, dexterous mobile manipulator for mobile manipulation by an unmanned aerial vehicle with dexterous arms and end effectors is described.
Journal ArticleDOI

Control and Navigation Framework for Quadrotor Helicopters

TL;DR: A nonlinear quadrotor simulation framework based on the Gazebo 3D robotics simulator and the Open Dynamics Engine library that can effectively facilitate the development and validation of controllers.
References
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Proceedings ArticleDOI

Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment

TL;DR: In this paper, a theoretical development is presented, and validated through both thrust test stand measurements and vehicle flight tests using the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC) quadrotor helicopter.
Proceedings ArticleDOI

Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering

TL;DR: Previous work on several important aerodynamic effects impacting quadrotor flight in regimes beyond nominal hover conditions are investigated and control techniques are presented that compensate for them accordingly.
Journal ArticleDOI

Mobile Sensor Network Control Using Mutual Information Methods and Particle Filters

TL;DR: This paper develops a set of methods enabling an information-theoretic distributed control architecture to facilitate search by a mobile sensor network that captures effects in more general scenarios that are not possible with linearized methods.
Proceedings Article

Modelling and control of a quad-rotor robot

TL;DR: The X-4 Flyer is developed, a quad-rotor robot using custom-built chassis and avionics with off-the-shelf motors and batteries, to be a highly reliable experimental platform.
Proceedings ArticleDOI

Indoor multi-vehicle flight test bed for fault detection, isolation, and recovery

TL;DR: Flight tests are presented of a unique indoor, multi-vehicle testbed that was developed to study long duration UAV missions in a controlled environment to embed health management into the full UAV planning system, thereby leading to improved overall mission performance.
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