Title
Stanford testbed of autonomous rotorcraft for multi-agent control
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.
Year
DOI
Venue
2009
10.1109/IROS.2009.5354306
IROS
Keywords
Field
DocType
aerospace robotics,collision avoidance,helicopters,multi-agent systems,path planning,remotely operated vehicles,Nash Bargaining,Stanford testbed,aerial vehicles,autonomous rotorcraft,maneuvering,multi-agent control,path planning,quadrotor helicopters,reactive collision avoidance
Motion planning,Remotely operated underwater vehicle,Multi agent control,Simulation,Computer science,Testbed,Multi-agent system,Collision,Aerospace robotics,Robot
Conference
Citations 
PageRank 
References 
5
0.77
6
Authors
7
Name
Order
Citations
PageRank
Gabriel M. Hoffmann130923.51
Steven Lake Waslander244346.89
Michael P. Vitus326420.08
Haomiao Huang425821.62
Jeremy H. Gillula514312.71
Vijay Pradeep6584.03
Claire J. Tomlin71491158.05