Papers
7
Total Citations
115
H-Index
6
About
Liviu Moldovan’s research bridges the frontiers of robotics, rehabilitation engineering, and technology-enhanced education, with a focus on improving human performance and quality of life. His most influential work, “Computer Aided Learning Process” (35 citations), explores how hemispheric brain dominance affects knowledge acquisition, proposing individualized computer-assisted techniques to boost learner engagement. In robotics, Moldovan has made foundational contributions to parallel manipulators, notably the novel 6-PGK robot, where he developed a geometrical method to precisely map its workspace (23 citations) and employed artificial neural networks to estimate its inverse dynamic model (16 citations). His meta-analysis on exoskeletons for spinal cord injury patients (20 citations) demonstrates a commitment to translating robotic technology into tangible rehabilitation solutions, assessing how different exoskeleton types can restore autonomy and improve life quality. More recently, he has investigated unconventional drive systems for 3D-printed mobile robots (12 citations) and addressed Industry 4.0 skill gaps through work-based learning research. With over 115 total citations across these core papers, Moldovan’s work stands out for its dual impact—advancing theoretical robotics while directly informing educational practice and medical rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Computer Aided Learning Process35 citations · 2017
- 2Geometrical Method for Description of the 6-PGK Parallel Robot's Workspace23 citations · 2008
- 3
- 4ANN Based Inverse Dynamic Model of the 6-PGK Parallel Robot Manipulator16 citations · 2015
- 5Unconventional Drive System of a 3D Printed Wheeled Mobile Robot12 citations · 2020
- 6Trajectory Errors of the 6-PGK Parallel Robot7 citations · 2008
- 7Research Regarding Work Based Learning in the Field of Industry 4.02 citations · 2020