Giuliano Persico

Papers

Total Citations

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About

Giuliano Persico is a robotics researcher focused on advancing autonomous material handling systems to improve workplace safety and operational efficiency. His work centers on the design and control of mobile robots, particularly two-wheeled autonomous platforms that can trace and follow human operators in industrial environments. Persico’s most cited paper, “Design of the Operator Tracing Robot for Material Handling” (2019), introduces a novel robotic system that integrates autonomous navigation with human-robot interaction, enabling equipment like forklifts and AGVs to operate more safely alongside workers. This contribution addresses critical challenges in logistics and manufacturing, where reducing operator risk and enhancing precision are paramount. With 3 citations, his research lays groundwork for next-generation material handling technologies. Persico’s achievements include the development of real-time control algorithms and sensor integration strategies that allow robots to dynamically adapt to human movement. His work is particularly relevant for students and researchers interested in autonomous robotics, human-robot collaboration, and industrial automation, offering practical insights into the design of safer, more intelligent material transport systems.