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A Novel Algorithm for Maximization of the Secondary-Task Function for Redundant Serial Manipulators

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ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 590))

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Abstract

Redundant manipulators can employ additional degrees to achieve secondary objectives when performing the trajectory tracking, such as avoiding the mechanical limits of the manipulator’s joints through the Jacobian null space properties. This article presents an improvement to the classical kinematic solution for redundant serial manipulators, changing the secondary gains to a variable vector that replaces the constant scalar gain. Also, a method is suggested for the variation of those gains. The application is demonstrated in trajectories for the Movemaster RV-M2 robot to prove the effectiveness of this change. As a result, the path of the manipulator’s joints remains further away from their limits along the path, maintaining the position error profile in the end-effector.

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Acknowledgement

This project was partially funded by National Counsil of Technological and Scientific Development of Brazil (CNPq), and by Coordination for the Improvement of Higher Level People (CAPES).

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Correspondence to Jonathan Cerbaro .

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Cerbaro, J., Martinelli, D., de Oliveira, A.S., Fabro, J.A. (2023). A Novel Algorithm for Maximization of the Secondary-Task Function for Redundant Serial Manipulators. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_18

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  • DOI: https://doi.org/10.1007/978-3-031-21062-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21061-7

  • Online ISBN: 978-3-031-21062-4

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