首页|Study Results from Huazhong University of Science and Technology Broaden Understanding of Robotics (A Review of Sensing Technologies for Indoor Autonomous Mobile Robots)
Study Results from Huazhong University of Science and Technology Broaden Understanding of Robotics (A Review of Sensing Technologies for Indoor Autonomous Mobile Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Mdpi
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “As a fundamental issue in robotics academia and industry, indoor autonomous mobile robots (AMRs) have been extensively studied.” Financial supporters for this research include National Natural Science Foundation of China; Key Re- search And Development Program of Hubei Province. Our news editors obtained a quote from the research from Huazhong University of Science and Technol- ogy: “For AMRs, it is crucial to obtain information about their working environment and themselves, which can be realized through sensors and the extraction of corresponding information from the measurements of these sensors. The application of sensing technologies can enable mobile robots to perform localization, mapping, target or obstacle recognition, and motion tasks, etc. This paper reviews sensing technologies for autonomous mobile robots in indoor scenes. The benefits and potential problems of using a single sensor in application are analyzed and compared, and the basic principles and popular algorithms used in processing these sensor data are introduced.” According to the news editors, the research concluded: “In addition, some mainstream technologies of multi-sensor fusion are introduced. Finally, this paper discusses the future development trends in the sensing technology for autonomous mobile robots in indoor scenes, as well as the challenges in the practical application environments.”
Huazhong University of Science and TechnologyWuhanPeo- ple’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsTechnol- ogy
NETL
NSTL
Mdpi
