Marius Pandelea
Papers
7
Total Citations
38
H-Index
3
About
Marius Pandelea’s research lies at the intersection of assistive robotics, intelligent control systems, and precision automation, with a focus on improving human-robot interaction and environmental perception. His most impactful work, “Distance Assessment by Object Detection—For Visually Impaired Assistive Mechatronic System” (18 citations), pioneers sensor fusion and computer vision techniques to enhance mobility and safety for visually impaired individuals, demonstrating a clear commitment to socially beneficial technology. Pandelea also advances the field of cyber-physical systems, as seen in his paper “Digital Twin in 5G Digital era developed through Cyber Physical Systems” (6 citations), which integrates genetic algorithms and intelligent control interfaces to create digital twins for manufacturing. His contributions to anthropomorphic walking robots, including stability improvements through advanced control interfaces (3–5 citations), and his work on mobile robotic systems for precision agriculture (3 citations) showcase his versatility across domains. More recently, his hybrid sensor system combining HQ stereo cameras and RPLIDAR for autonomous navigation (2024) underscores his ongoing innovation. With a growing citation record and a portfolio spanning assistive mechatronics, digital twins, and agricultural robotics, Pandelea is establishing himself as a researcher dedicated to practical, intelligent robotic solutions that address real-world challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Digital Twin in 5G Digital era developed through Cyber Physical Systems6 citations · 2020
- 3Anthropomorphic Walking Robots Integration in Smart Green Systems5 citations · 2019
- 4
- 5
- 6Customized Assistive System Design for Visually Impaired People2 citations · 2020
- 7