Abstract
Optimal plant-floor robot positioning is a non-trivial task for robotic manufacturing. An unsuitable robot positioning may cost time and energy, which after thousands of cycles may be significant. The present article presents an approach to choose the robot base position through a numerical optimization tool. The problem may be defined as follows: given a set of constraints for the base placement of a serial robot, determine the base placement which requires minimum norm of the averaged absolute joint torques through a given set of trajectories in a process. In order to obtain the joint torques, the dynamic model of the robot is used, by means of the recursive Newton-Euler approach. Optimization process is based on a numerical software function. Additionally, trajectories are determined using polynomial interpolation for joints motion, assuring motor smoothness suitable for pick and place tasks.
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Bonilla, A.A.C., da Silva, L., Gonzalez, L.E.G. (2017). Robot Position Optimization Based on Joint Mean Torque Norm. In: Chang, I., Baca, J., Moreno, H., Carrera, I., Cardona, M. (eds) Advances in Automation and Robotics Research in Latin America. Lecture Notes in Networks and Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-54377-2_1
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DOI: https://doi.org/10.1007/978-3-319-54377-2_1
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