J
J. Jesús Cervantes-Sánchez
Researcher at Universidad de Guanajuato
Publications - 53
Citations - 689
J. Jesús Cervantes-Sánchez is an academic researcher from Universidad de Guanajuato. The author has contributed to research in topics: Kinematics & Parallel manipulator. The author has an hindex of 13, co-authored 50 publications receiving 588 citations.
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On the workspace, assembly configurations and singularity curves of the RRRRR-type planar manipulator
TL;DR: In this article, a general approach for numerically obtaining the workspace and the singularity curves of a planar RRRRR-type manipulator is presented, where the workspace generation is formulated as a direct kinematic problem involving only two branches which are mathematically defined and related with the manipulator's assembly configurations.
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On the kinematic design of the 5R planar, symmetric manipulator
TL;DR: In this paper, a complete kinematic characterization of the 5R planar symmetric manipulator is proposed, which relies on the configuration of the Cartesian workspace plots (CWP, CWSP, JWP, and JWSP) and the joint workspace singularity plots (JWSP).
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On the 5R spherical, symmetric manipulator: workspace and singularity characterization
TL;DR: In this paper, the authors presented an integrated methodology for the determination of the workspace and the singularity distribution for the 5R spherical, symmetric manipulator, where the branching problem of the manipulator was considered and its solution was used to locate positions on a sphere that can be attained by the end effector.
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A simplified approach for obtaining the workspace of a class of 2-dof planar parallel manipulators
TL;DR: In this paper, a method for generating the reachable workspace of a class of planar two-degree-of-freedom (dof) end-effector-type manipulators is presented.
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An efficient multi-camera, multi-target scheme for the three-dimensional control of robots using uncalibrated vision
Emilio J. González-Galván,Sergio Rolando Cruz-Ramírez,Michael J. Seelinger,J. Jesús Cervantes-Sánchez +3 more
TL;DR: In this paper, a vision-based control methodology is presented that can perform accurate, three-dimensional (3D), positioning and path-tracking tasks using data from multiple vision sensors.