Recently, it was learned from the Robotics Research Center of the University of Science and Technology of China that the robot team of the school has made important progress in the automatic detection technology and low cost of intelligent service robots.
According to Professor Chen Xiaoping of the School of Computer Science, Zhongke University, the performance testing of traditional service robots has remained at the stage of subjective observation and qualitative evaluation. At home and abroad, there are gaps in automatic detection technology, technology and equipment. For example, after modifying a certain technical link, what are the specific changes in the performance of the service robot, which can only rely on the subjective observation of the R&D personnel, or conduct qualitative tests (such as grabbing a cup and seeing whether it is successful). This is too rough. The practice is far from meeting the performance testing requirements required for research. "From the perspective of industrialization, there is no guarantee for the quality inspection of products, which is one of the deadly bottlenecks in the industrial production of service robots." Chen Xiaoping said.
To this end, the University of Science and Technology of the United States and Carnegie Mellon University, the National University of Singapore and other domestic and foreign universities, in collaboration with the EU's 7th framework project, the first international research on the automatic detection technology of service robots, the service robot performance index system, Basic factors such as performance factors and combination models, data acquisition and analysis methods, parameter identification and model reconstruction techniques were explored. On this basis, they introduced the world's leading motion tracking equipment, independently developed the service robot performance detection system, and completed the first batch of experimental tests.
"High cost is another important bottleneck of the current service robot industrialization." Chen Xiaoping said that China Science and Technology University launched the "Kejia low-cost mobile platform" project, based on the underlying platform of Kejia robot, on the main components. The localization transformation has optimized and upgraded the underlying control and sensing system. At present, the research and development of two "Kejia Universal Mobile Platform" prototypes have been completed, and the performance detection and evaluation of the service robot automatic detection system has been carried out.
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