首页|Researchers from Vytautas Magnus University Report Details of New Studies and Fi ndings in the Area of Robotics (Investigation of Dynamics of the Manipulator Wit h Self-stopping Mechanism and Vibration Drive Based On Centrifugal Forces)

Researchers from Vytautas Magnus University Report Details of New Studies and Fi ndings in the Area of Robotics (Investigation of Dynamics of the Manipulator Wit h Self-stopping Mechanism and Vibration Drive Based On Centrifugal Forces)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Kaunas, Lithuania, by NewsRx journalist s, research stated, “Manipulators of this type can be used as constituent parts of robots of several dimensions. Vibration drive based on centrifugal forces is often used in elements of manipulators and robots.” The news correspondents obtained a quote from the research from Vytautas Magnus University, “In this paper manipulator with vibration drive based on centrifugal forces and with the self-stopping mechanism is investigated. The model of the i nvestigated manipulator is described and equations determining the motion of the manipulator are obtained. The conservative system is investigated. Then the ful l dynamic model is investigated. Also, the model with excitation of unlimited po wer is investigated. Numerical solution of the obtained equations is performed. First the results for the conservative system are described and investigated. Th en the full dynamic model is investigated in detail. Also, the model with excita tion of unlimited power is described and investigated. Various typical graphical relationships determining the dynamic behavior of the investigated manipulator with vibration drive based on centrifugal forces in steady state regimes of moti on are presented. Experimental investigations are performed.”

KaunasLithuaniaEuropeEmerging Tech nologiesMachine LearningNano-robotRoboticsVytautas Magnus University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.2)