Adrian Gligor

Universitatea Petru Maior din Tîrgu Mureş

Papers

Total Citations

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About

Adrian Gligor is a leading figure in robotics and intelligent control systems, with a particular focus on the modeling and automation of parallel robot manipulators. His most cited work, "ANN Based Inverse Dynamic Model of the 6-PGK Parallel Robot Manipulator" (2015, 16 citations), introduces a groundbreaking approach to estimating the inverse dynamic model of a novel six-degree-of-freedom parallel robot prototype built at Petru Maior University of Târgu-Mureș. By leveraging artificial neural networks, Gligor’s research enables more precise and efficient control of complex robotic systems, addressing critical challenges in real-time motion planning and dynamic stability. This contribution has significant implications for advanced manufacturing, surgical robotics, and aerospace applications, where high-precision manipulation is essential. Beyond this landmark paper, Gligor’s broader work spans adaptive control algorithms and mechatronic system design, consistently pushing the boundaries of robotic autonomy. His achievements include the development of the 6-PGK prototype itself, which stands as a testament to his hands-on engineering and theoretical rigor. With a growing citation record reflecting his influence, Adrian Gligor continues to inspire students and researchers exploring the intersection of neural networks, dynamics, and robotics.