Mert Ege Can

Papers

Total Citations

H-Index

About

Mert Ege Can is a researcher focused on advancing autonomous systems and intelligent robotics, with a particular emphasis on enhancing the navigation and coordination of Autonomous Guided Vehicles (AGVs). His work integrates software agents and Ultra-Wideband (UWB) technology to improve the precision and reliability of mobile robots in industrial settings. Can’s most cited paper, "Enhancing Autonomous Guided Robots using Software Agents and UWB Technology" (2022), explores how combining agent-based control with high-accuracy indoor localization can overcome traditional limitations in manufacturing environments. This contribution addresses critical challenges in real-time path planning and obstacle avoidance, offering scalable solutions for smart factories. While his citation count is still growing, his research is gaining traction among engineers and academics working on Industry 4.0 applications. Can’s work stands out for its practical focus on bridging software intelligence with hardware sensing, making autonomous systems more adaptable and efficient. As the demand for flexible automation rises, his contributions are poised to influence next-generation logistics and production systems.