Ondrej Hock

Papers

Total Citations

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About

Ondřej Hock is a robotics researcher whose work centers on the kinematic control and visual guidance of robotic manipulators, with a particular focus on the DOBOT platform. His primary contributions lie in solving the fundamental challenge of inverse kinematics—determining the joint angles required to achieve a desired end-effector position. Hock’s most influential work, "Forward and Inverse Kinematics Using Pseudoinverse and Transposition Method for Robotic Arm DOBOT" (2017, 20 citations), provides a foundational framework for comparing these two key numerical approaches. He further refined this in his 2018 paper (13 citations), offering a clear analytical solution for forward kinematics while demonstrating the transposition method's practical utility for inverse problems. Expanding beyond pure kinematics, Hock’s 2021 paper (3 citations) explores the integration of vision systems for object sorting by color and shape, representing a significant step toward automating repetitive manufacturing tasks. His research effectively bridges theoretical robotics with applied mechatronics, providing essential tools for students and engineers working with educational and industrial robotic arms.