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On the Solution Set for Positive Wire Tension With Uncertainty in Wire Actuated Parallel Manipulators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The solution for positive wire tension vector in the presence of uncertainties in design parameters and error in data is investigated for parallel manipulators. The minimum 2norm nonnegative solution and enclosures for the ...
Wrench Accuracy for Parallel Manipulators and Interval Dependency
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, the wrench accuracy for parallel manipulators is examined under variations in parameters and data. The solution sets of actuator forces/torques are investigated utilizing interval arithmetic (IA). Implementation ...
Deflection Maps of Planar Elastic Catenary Cable-Driven Robots
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, the cable tension and platform deflection of cable-driven robots are studied. The significance of cable density, elasticity, and cross-sectional area; platform mass, radius, and center of mass; the external ...
Neural Network-Based Transfer Learning of Manipulator Inverse Displacement Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, the feasibility of applying transfer learning for modeling robot manipulators is examined. A neural network-based transfer learning approach of inverse displacement analysis of robot manipulators is studied. ...
Motion Analysis of Manipulators With Uncertainty in Kinematic Parameters
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this article, a novel method for characterizing the exact solution for interval linear systems is presented. In the proposed method, the entries of the interval coefficient matrix and interval righthand side vector are ...
Neural Network Based Transfer Learning for Robot Path Generation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, an artificial neural network (ANN)-based transfer learning approach of inverse displacement analysis of robot manipulators is studied. ANNs with different structures are applied utilizing data from different ...
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