The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC)

By G. Hoffmann, D. Rajnarayan, Steven L. Waslander, D. Dostal, Jung Soon Jang, Claire Jennifer Tomlin. Digital Avionics Systems Conference, 2004

373 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5c75115256ec33d441d1d5a040b4f82394585291

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In Aerospace Engineering

In Control and Systems Engineering

Citations in the corpus

Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning (2005, background): “They are capable of 15 minute outdoor flights in a 100m square area [1].”
Aerodynamics and Control of Quadrotors (2017, neutral): “The hardware design problem including rotor design has also been extensively studied Pounds [2007]; Hoffmann et al. [2004] between 2004 and 2010.”
A Fully Autonomous Indoor Quadrotor (2012, methodology): “[19] presented a modelbased algorithm for autonomous flying with their STARMACquadrotor.”
Energy-efficient Autonomous Four-rotor Flying Robot Controlled at 1 kHz (2007, neutral): “1-4244-0602-1/07/$20.00 ©2007 IEEE.”
Recent Research in Cooperative Control of Multivehicle Systems (2007, background): “Several physical testbeds have also been developed, ranging from wheeled robots such as those sued in RoboCup, to hovercraft that provide some of the dynamics more typical of aircraft [5] [47], to small-scale aircraft [17] [24] and helicoptersSKS03-cep,SV99-cca.”
Introduction to Embedded Systems - A Cyber-Physical Systems Approach (2013, methodology): “The specific application is the Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC), developed by Claire Tomlin and colleagues as a cooperative effort at Stanford and Berkeley (Hoffmann et al., 2004).”
PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision (2012, background): “Recent works successfully demonstrated the use of small LIDAR sensors on such small scale MAVs for mapping and autonomous flight (Hofiann et al. 2004; Roy et al. 2010; Dryanovski et al. 2011; Shen et al. 2011; Bachrach et al. 2010; Fowers et al. 2007).”
design and control of quadrotors with application to autonomous flying (2007, methodology): “However, another research group succeeded in flying a quadrotor using an LQ controller, refer to [30] for more details.”
Towards a navigation system for autonomous indoor flying (2009, background): “Hoffmann et al. [13] present a model-based algorithm for autonomous flying with their STARMAC-quadrotor.”
Real-time indoor autonomous vehicle test environment (2008, neutral): “STARMAC is a multivehicle testbed consisting of two quadrotor UAVs that autonomously track a given waypoint trajectory [10].”
Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives (2016, methodology): “Furthermore, based on this technology Hoffmann et al. [166] developed a testbed for multiple UAVs control.”
Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering (2009, methodology): “Several radio controlled toys have been constructed based on quadrotor planforms [1], [2], and many research groups have begun constructing quadrotor UAVs as robotics research tools [1], [3], [4], [5], [6], [7], [8], [9].”
A survey of quadrotor Unmanned Aerial Vehicles (2012, background): “The sensor need not necessarily be an ultrasonic sensor - it can also be an infrared or a Laser range finder which can measure distance [31, 35, 61].”
Build Your Own Quadrotor: Open-Source Projects on Unmanned Aerial Vehicles (2012, background): “Successes have been reported from academia, such as the X4-flyer [9], OS4 [10], STARMAC [11], and Pixhawk [12] to mention a few.”