Dorian Cojocaru
Papers
22
Total Citations
152
H-Index
7
About
Dorian Cojocaru is a Romanian robotics and intelligent systems researcher whose work spans assistive technologies, computer vision, robotic kinematics, and industrial automation. He is perhaps best known for his pioneering contributions to accessibility-focused robotics, particularly his development of eye-gaze-controlled wheelchair systems designed to restore independence to individuals with severe mobility impairments — work that has garnered 25 citations and attracted significant attention in the assistive technology community. His 2021 intelligent robotic wheelchair design further expanded this vision, integrating smart sensors to support users with complex physical and visual limitations. Cojocaru's contributions extend into industrial computer vision, with his machine learning-based piston chamber defect detection system (18 citations) demonstrating real-world impact for automotive manufacturing quality control. Earlier in his career, he laid important theoretical groundwork in hyper-redundant and tentacle robot kinematics and boundary control, producing multiple cited works in that domain around 2010. More recently, he has explored autonomous legged navigation in unstructured environments and enterprise robotic process automation. With a research portfolio bridging rehabilitation engineering, advanced robotics, and industrial AI, Cojocaru represents a versatile and socially conscious contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Using an Eye Gaze New Combined Approach to Control a Wheelchair Movement25 citations · 2019
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- 4Gibbs-Appell Equations of Motion for a Three Link Robot with MATLAB12 citations · 2015
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- 6Boundary Control by Boundary Observer for Hyper-redundant Robots10 citations · 2010
- 73D Kinematics of a Tentacle Robot9 citations · 2010
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- 9Control of a hyper-redundant robot6 citations · 2010
- 10