Efficient parallel algorithm for robot inverse dynamics computation
IEEE Transactions on Systems, Man and Cybernetics
Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
Organizing customized robot dynamics algorithms for efficient numerical evaluation
IEEE Transactions on Systems, Man and Cybernetics
Modelling and Simulation of Robot Manipulators: A Parallel Processing Approach
Modelling and Simulation of Robot Manipulators: A Parallel Processing Approach
Applied Dynamics of Manipulation Robots
Applied Dynamics of Manipulation Robots
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Dynamic Analysis of Robot Manipulators: A Cartesian Tensor Approach
Dynamic Analysis of Robot Manipulators: A Cartesian Tensor Approach
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In this paper, two algorithms for solving the Inverse Dynamic Problem based on the Gibbs-Appell equations are proposed and verified. Both are developed using mainly vectorial variables, and the equations are expressed in a recursive form. The first algorithm has a computational complexity of O(n2) and is the least efficient of the two; the second algorithm has a computational complexity of O(n). This algorithm will be compared with one based on Newton-Euler equations of motion, formulated in a similar way, and using mainly vectors in its recursive formulation. The O(n) proposed algorithm will be used to solve the Inverse Dynamic Problem in a PUMA industrial robot.