Abstract
This paper discusses the use of optimization algorithms to solve the problem of determining the workspace for a new robot for biological material aliquoting. The proposed robot is based on a parallel Delta-like kinematic architecture. A method for approximating the set of solutions to a system of nonlinear inequalities describing constraints on the geometric parameters of the robot is considered. Algorithms for constructing the workspace are synthesized. The workspace of the robot is obtained, considering the singularity zones of the robot, using a method based on the analysis of the Jacobian matrix of the mechanism. The analysis of changes in the volume of the workspace, considering the constancy of the determinant of the Jacobian matrix, depending on the options for solving the ambiguous inverse kinematics of the robot. The simulation results are presented.
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This work was supported by the state assignment of Ministry of Science and Higher Education of the Russian Federation under Grant FZWN-2020-0017.
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Malyshev, D., Rybak, L., Carbone, G., Semenenko, T., Nozdracheva, A. (2021). Workspace and Singularity Zones Analysis of a Robotic System for Biosamples Aliquoting. In: Zeghloul, S., Laribi, M.A., Sandoval, J. (eds) Advances in Service and Industrial Robotics. RAAD 2021. Mechanisms and Machine Science, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-75259-0_4
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