Papers

18

Total Citations

191

H-Index

9

About

Aurel Gontean is a prominent researcher specializing in robotics, computer vision, and embedded systems, with particular expertise in robotic arm control and stereo vision technologies. His work has consistently pushed the boundaries of intelligent automation, earning him a substantial body of cited research across nearly a decade of prolific scholarship. Gontean's most celebrated contributions center on developing innovative methods for controlling robotic arms using stereo camera systems, eliminating reliance on traditional sensor-heavy approaches. His 2013 paper on 3D robotic arm control with stereo vision (27 citations) established a foundational framework that subsequent works expanded upon, including implementations in LabVIEW, LabWindows/CVI, and RoboRealm environments. Alongside this, he made significant strides in robotic arm programming accessibility, designing a custom-friendly programming language for the AL5 robotic arm series and developing an FPGA-based serial driver chip for precise motor communication. His research portfolio also reflects a growing interest in accessible and affordable automation, notably demonstrating Raspberry Pi-driven industrial robotics (17 citations) and pioneering AI-powered object recognition for visually impaired users on Android devices. Together, Gontean's publications accumulate over 160 citations, reflecting meaningful influence in academic and applied robotics communities.

Research Focus

Key Achievements

9
H-Index
18
Papers
191
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Controlling a robotic arm in the 3D space with stereo vision
27 citations · 2013
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Polytechnic University of Timişoara, West University of Timişoara

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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