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Dynamics-Based Algorithm for Reliable Assembly Mode Tracking in Parallel Robots

delete2020-06-01
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OA
AI
A
Adrien Koessler *
A
Alexandre Goldsztejn
S
Sébastien Briot
N
Nicolas Bouton
DOI:10.1109/TRO.2020.2987855delete
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Abstract

Abstract

En 中文
Finding the current pose of the end-effector of a parallel robot is a problem, since its forward geometric model generally has several solutions. Current methods to address this problem operate mainly under the assumption that the robot never changes its assembly mode nor gets close to Type 2 singularities. Nonetheless, recent works proved that a parallel robot can change its assembly mode, thanks to dedicated trajectory generation and control. Such a feature allows increasing the operational workspace of such manipulators. Hence, correctly tracking the end-effector pose while crossing Type 2 singularities is mandatory for a practical usage of this workspace enhancement method. However, on Type 2 singularities, several solutions of the forward geometric model merge, making current tracking methods ineffective. To fill this gap, we propose a two-step pose tracking methodology. First, a differential inclusion based on kinematics and dynamics is solved. Second, joint measurements are used to tighten resulting enclosures. The effectiveness of this method is discussed, thanks to experimental data gathered on a planar parallel robot.
Keywords:
Trajectory
Robotic assembly
Parallel robots
Robot kinematics
Acceleration
Heuristic algorithms
Assembly modes
interval analysis (IA)
parallel robots
robot dynamics
singularity crossing
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Journal

IEEE Transactions on Robotics cover
IEEE Transactions on Robotics
IF:
10.5
Papers:
3.3K
Citations:
2.8W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
U
universite clermont auvergne (uca)
Scholars:
1.1W
Papers: 7.8K
Citations: 11
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