首页|Research Study Findings from Beijing Information Science and Technology Universi ty Update Understanding of Robotics (A Multi- Sensor Fusion Underwater Localizati on Method Based on Unscented Kalman Filter on Manifolds)

Research Study Findings from Beijing Information Science and Technology Universi ty Update Understanding of Robotics (A Multi- Sensor Fusion Underwater Localizati on Method Based on Unscented Kalman Filter on Manifolds)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “In recent years, the simplif ied computation of position and velocity changes in nonlinear systems using Lie groups and Lie algebra has been widely used in the study of robot localization s ystems.” Financial supporters for this research include Open Fund of State Key Laboratory of Acoustics; Youth Innovation Promotion Association, Chinese Academy of Scienc es.

Beijing Information Science and Technolo gy UniversityBeijingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.16)