Sorin Ioan Deaconu

Papers

Total Citations

H-Index

About

Sorin Ioan Deaconu’s research lies at the intersection of robotics, intelligent control systems, and engineering education. His work focuses on developing autonomous navigation strategies for mobile robots operating in unknown environments, where he has pioneered the use of genetic fuzzy algorithms to enable safe, adaptive movement and obstacle avoidance. This approach, detailed in his 2009 paper, demonstrates how machine learning and fuzzy logic can be combined to give robots the ability to extract environmental information and make real-time decisions—a foundational contribution to autonomous robotics. Deaconu has also made significant strides in distance engineering education, designing a virtual joint laboratory that allows students to remotely control industrial devices and mobile robots via the Internet. His 2015 paper on this system provides a scalable, web-based platform for hands-on training, bridging the gap between theoretical knowledge and practical application in robotics. While his citation counts (2 each for his most-cited works) reflect a focused, emerging impact, his contributions are notable for their practical integration of AI into robotic systems and for expanding access to engineering education through remote experimentation.