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New robotic repair system will fix ailing satellites
October 03, 2008Researchers at Queen's University are developing a new robotic system to service more than 8,000 satellites now orbiting the Earth, beyond the flight range of ground-based repair operations. Currently, when the high-flying celestial objects malfunction - or simply run out of fuel - they become "space junk" cluttering the cosmos.
"These are mechanical systems, which means that eventually they will fail," notes Electrical and Computer Engineering professor Michael Greenspan, who leads the Queen's project. But because they are many thousands of kilometres away, the satellites are beyond the reach of an expensive, manned spaced flight, while Earth-based telerobotic repair isn't possible in real time.
Dr. Greenspan's solution to this problem is the development of tracking software that will enable an Autonomous Space Servicing Vehicle (ASSV) to grasp the ailing satellite from its orbit and draw it into the repair vehicle's bay. Once there, remote control from the ground station can be used for the repair, he explains. "The repair itself doesn't have to be done in real time, since everything is in a fixed position and a human can interact with it telerobotically to do whatever is required."
The Queen's team is now working to develop the ASSV with the aerospace company MDA (McDonald-Detweiller Associates) Space Missions, which earlier built the Canadarm and has been responsible for all Canadian systems in the International Space Station.
Computer vision is the main technical challenge of grasping the satellites, Dr. Greenspan continues. Since these objects circle the globe in "geosynchronous" orbit, their speed is synchronized with the Earth's rotation. The robotic system must recognize the satellite first, then determine its motion and match that motion before grabbing it.
Due to the harsh illumination conditions in space, conventional video cameras are of limited use. The preferred sensor is a form of light-based radar called LIDAR, which provides a set of 3D points that accurately measure the surface geometry of the satellite.
The Queen's team, which includes Electrical and Computer Engineering graduate students Limin Shang, Babak Taati and Michael Belshaw, has developed software that allows such a system to identify a satellite, determine its position and finally track it in real time, using this specialized range data. They have recently received funding from the Natural Sciences and Engineering Research Council (NSERC) to continue looking at fundamental aspects of this new technology.
Another potential, terrestrial application of their findings is in the area of "flexible" manufacturing, says Dr. Greenspan. Using vision systems and algorithms, objects can be recognized and tracked as they go down a conveyor belt or assembly line. "Once you can do that, automated manufacturing systems can interface much more flexibly with the objects," he notes. "The result will be a much easier and more cost effective manufacturing process."
Queen's University
The Queen's team is now working to develop the ASSV with the aerospace company MDA (McDonald-Detweiller Associates) Space Missions, which earlier built the Canadarm and has been responsible for all Canadian systems in the International Space Station.
Computer vision is the main technical challenge of grasping the satellites, Dr. Greenspan continues. Since these objects circle the globe in "geosynchronous" orbit, their speed is synchronized with the Earth's rotation. The robotic system must recognize the satellite first, then determine its motion and match that motion before grabbing it.
Due to the harsh illumination conditions in space, conventional video cameras are of limited use. The preferred sensor is a form of light-based radar called LIDAR, which provides a set of 3D points that accurately measure the surface geometry of the satellite.
The Queen's team, which includes Electrical and Computer Engineering graduate students Limin Shang, Babak Taati and Michael Belshaw, has developed software that allows such a system to identify a satellite, determine its position and finally track it in real time, using this specialized range data. They have recently received funding from the Natural Sciences and Engineering Research Council (NSERC) to continue looking at fundamental aspects of this new technology.
Another potential, terrestrial application of their findings is in the area of "flexible" manufacturing, says Dr. Greenspan. Using vision systems and algorithms, objects can be recognized and tracked as they go down a conveyor belt or assembly line. "Once you can do that, automated manufacturing systems can interface much more flexibly with the objects," he notes. "The result will be a much easier and more cost effective manufacturing process."
Queen's University
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Scientists identify new leads for treating parasitic worm disease
A research team supported by the National Institutes of Health (NIH) Roadmap and the National Institute of Allergy and Infectious Diseases (NIAID) has identified chemical compounds that hold promise as potential therapies for schistosomiasis, a parasitic disease that afflicts more than 200 million people worldwide.
Microbiotic technology developed for microinjection of zebrafish embryos
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Robotic surgeon to team up with doctors, astronauts on NASA mission
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Researcher gives robotic surgery tools a sense of touch
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Researcher gives robotic surgery tools a sense of touch
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Of I robots go solar; new system could drastically reduce herbicide use
A solar-powered robot with 20/20 vision, on a search-and-destroy quest for weeds, will soon be moving up and down the crop rows at the experimental fields at the University of Illinois.
Robot wheelchair may give patients more independence
Engineers at the National Institute of Standards and Technology (NIST) are developing a robotic system that may offer wheelchair-dependent people independent, powered mobility and the ability, depending on patient status, to move to and from beds, chairs and toilets without assistance.
Tumor cells that border normal tissue are told to leave
The thin, single-cell boundary where a tumor meets normal tissue is the most dangerous part of a cancer according to a new study by scientists at Washington University School of Medicine in St. Louis.
Robotic technique shows promise in weight-loss surgery, Stanford study finds
Surgeons at the Stanford University School of Medicine have developed a safe and efficient way to use a surgical robot to perform gastric bypass operations.
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