Hummingbird
Hummingbird helicopter in autonomous flight
Hummingbird with ground station GPS antenna
Research GoalsAutonomous helicopters are a promising research area due to their advanced capabilities and great flexibility. Besides having the ability to hover, which allows one to operate in areas unaccessible to other vehicles, an unmanned autonomous helicopter can perform tasks which would be exceedingly difficult or hazardous for a manned vehicle. Possible applications for this technology include close-up inspection of power lines, terrain surveying, search-and-rescue missions, filming movies, and the investigation and clean-up of hazardous waste sites. The ultimate goal of this research at Stanford is to demonstrate the practicality of using inexpensive robot helicopters to perform tasks without the need for highly trained human operators. This research will bring the concept of object-based, task-leve l control to a new and exciting application environment.
The Hummingbird HelicopterHUMMINGBIRD is a small autonomous helicopter build by a team at the ARL. It consists of a heavily modified "60 size" remote control model helicopter with a 2.76 cu.in. engine. Navigational sensing is provided entirely by a pair of Trimble Global Positio ning System receivers operating using Differential Carrier Phase calculations. By using four separate antennas, HUMMINGBIRD is able to sense its attitude as well as position with GPS. As an additional sensor, HUMMINGBIRD has an onboard camera system to gather additional information about its environment. Using this system, HUMMINGBIRD is capable of object location, identification, and retrieval using a retractable tether with a magnet ic manipulator. HUMMINGBIRD's current flight capabilities include autonomous take-off, hover, trajectory following, and landing. The ability to fly autonomously and retrieve a small ferromagnetic disk was sufficient to win the 1995 International Aerial Robotics Competition sponsored by the Association of Unmanned Vehicle Systems International (AUVSI). Stanford was the first and only team in the six years of this competition to successfully retrieve and move a target disk.
Additional InformationHelicopter Statistics
Current Capabilities
Future Capabilities
Global Positioning SystemOne of the greatest problems with controlling an autonomous helicopter is sensing position and attitude. Since a small, inexpensive vehicle is being used, it has neither the payload nor the financial budget to use exceedingly high quality inertial guidance systems. Navigation using differential carrier phase Global Positioning System (DCPGPS), is an active area of research within ARL, and offers an practical solution to these problems. The Global Positioning System is an excellent sensor offering a wide variety of configurations. In its normal civilian configuration, it provides accuracies of roughly 100 meters in both position and altitude. Various (mainly differential) methods have been proposed and implemented for increasing this precision to about a meter. Stanford's use of carrier phase measurements allow accuracy on the order of centimeters. When carrier phase techniques are used in conjunction with multiple antenna, vehicle attitude can also be determined. PublicationsJonesFWR:1998
H. Jones, E. Frew, B. Woodley, S. Rock. Human-Robot Interaction for Field Operation of an Autonomous Helicopter Mobile Robots XIII, Boston, MA, November 1998. Conway:95
Andrew R. Conway. Autonomous Control of an Unstable Helicopter Using Carrier Phase GPS Only. PhD thesis, Stanford University, Stanford, CA 94305, March 1995. Also published as SUDAAR 664. WoodleyJCR:95
B. Woodley, C. Jennings, A. Conway, S. Rock. A Contestant in the 1995 International Aerial Robotics Competition. Aeroapce Robotics Laboratory Stanford University. Proceedings Manual. AUVS '95 Technical Papers, Washington DC, July 1995. WoodleyJFLR:96
B. Woodley, H. Jones, E. Frew, E. LeMaster, S. Rock. A Contestant in the 1996 International Aerial Robotics Competition. Aeroapce Robotics Laboratory Stanford University. AUVSI '96 Proceedings, Orlando, FL, July 1996. WoodleyJLFR:96b
B. R. Woodley, H. L. Jones, E. A. LeMaster, E. W. Frew, and S. M. Rock. Carrier Phase GPS and Computer Vision for Control of an Autonomous Helicopter. ION GPS-96, Kansas City, Missouri, September 1996. WoodleyJFLR:97
B. Woodley, H. Jones, E. Frew, E. LeMaster, S. Rock. A Contestant in the 1997 International Aerial Robotics Competition. Aeroapce Robotics Laboratory Stanford University. AUVSI '97 Proceedings, July 1997. Document Actions |
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