Intelligent robot "eye" eye-catching "rubbish residue" project
The photo shows Dr. Xiao Jizhong demonstrated to reporters the miniature four-rotor robot model. Our reporter Feng Weidong photo
Speaking of New York University, people may first think of Columbia University. But in Manhattan, there is a not-so-familiar New York City University, where 13 Nobel laureates have been trained. On the wall of honor school, full of celebrities, the face of a Chinese scientist is particularly prominent. Dr. Xiao Jizhong, who has made great achievements in robotics.
Climbing robots can penetrate the "rubbish residue" project
Currently Dr. Xiao Jizhong, director of the Research Center for Perception Robotics and Intelligent Instruments at New York City University, has been involved in robotics research since 1999. His prototype of the wall-climbing robot series has won numerous awards in international robotics competitions and led the technology of wall-climbing robotics development of. Among them, the City-Climber vision detection robot won the 2006 IEEE International Robotics and Automation Conference Best Video Final Prize; Rise-Rover NDT robot won the 2015 International Conference on Climbing and Walking Robots Practice Innovation Award.
With the rapid development of modern cities and the increasing number of skyscrapers, relying on "Spider-Man" to clean glass curtain walls once was a beautiful landscape in such big cities as New York City. However, the manual cleaning of glass curtain walls in tall buildings is inefficient, labor-intensive and dangerous. The simplest application of a climbing robot is to liberate Spider-Man and make this city's job safer and easier.
Dr. Xiao said that he invented the climbing robot more importantly lies in the construction, dams, bridges and other infrastructure nondestructive testing, the cost is only 1% of the manual testing. For example, in New York City law, buildings over seven floors must undergo mandatory inspections on the outer surface every five years and use climbing robots for testing. Only building scaffolding can save 80 million U.S. dollars each year. The United States has 84,000 dams, with an average age of 52 years and an annual maintenance cost of up to 21 billion U.S. dollars. According to statistics, about 12% of the 72,000 existing bridges in the United States have structural defects, and the annual maintenance costs will also reach as high as 20.3 billion U.S. dollars.
Due to the elimination of the time and cost of building scaffolding, eliminating the need to dispatch vehicle vehicles occupy the road for manual detection of traffic congestion and other troubles, the robot automatically detects greatly speed up the detection speed, reduce labor intensity and improve safety, and Lower cost.
In addition to surface defect detection using a built-in camera, the large load modular test robot developed by Dr. Xiao is also equipped with a dual frequency ground / wall penetrating radar to detect the thickness of reinforced concrete and to detect and locate internal defects in the concrete structure (blisters, holes , Stratification, etc.), the "rubbish residue" project in infrastructure construction will disappear under the "eye-catching eyes" of the robot.
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