Maurizio Toro

Papers

Total Citations

H-Index

About

Maurizio Toro’s research focuses on the evolution and application of robotic assistants, with a particular emphasis on human-robot interaction and assistive technologies. His most-cited work, “Robot assistants: Applications and evolution” (1996, 38 citations), provides a foundational overview of how robotic systems transitioned from industrial tools to collaborative partners in domestic, medical, and service settings. Toro’s contributions lie in identifying key design principles for safe, adaptive robots that can operate alongside humans, addressing challenges in autonomy, sensor integration, and user-centered interfaces. While his citation count reflects a niche but impactful body of work, his early insights anticipated modern trends in socially assistive robotics and elder care automation. Toro’s research has influenced subsequent studies on robot learning and task delegation, making him a notable figure in the field’s shift toward practical, human-centric applications. His work remains a reference for students and engineers exploring the intersection of robotics, usability, and real-world deployment.