Marius Pascu

Papers

Total Citations

H-Index

About

Marius Pascu is a dedicated researcher in the field of robotics, with a focused expertise on parallel structure manipulators. His primary research areas encompass workspace analysis, kinematic modeling, and the optimization of robotic systems, particularly the Delta 3DOF parallel robot. Pascu’s major contributions lie in developing and applying novel computational methods to precisely determine the shape and volume of a robot’s workspace—a critical factor for practical deployment. His most cited work, "Determining the Shape and Volume of the Work Space for the Robot with Parallel Structure Delta 3DOF Using the Monte Carlo Method" (2013), introduced a probabilistic approach to accurately map the complex, limited workspace of these high-speed, high-stiffness robots. This work, along with his earlier foundational study from 2012, has been instrumental in addressing the key challenge of workspace constraints in parallel robotics. While his citation counts (9 and 4) reflect a specialized, technical audience, his research is vital for engineers designing robots for high-speed pick-and-place and heavy-object transport. Pascu’s work provides essential tools for maximizing the performance and application range of parallel robots in industrial automation.