Roland Meertens

Delft University of Technology, Centre d'Etudes et De Recherche en Informatique et Communications

Papers

Total Citations

H-Index

About

Roland Meertens is a researcher focused on advancing human-robot interaction and autonomous navigation, with a particular emphasis on evaluating and enhancing robotic systems for real-world applications. His work bridges the gap between theoretical robotics and practical deployment, especially in obstacle avoidance and social intelligence. Meertens’ most cited paper, “Performance evaluation in obstacle avoidance” (2016, 13 citations), introduces a novel framework for quantitatively assessing robotic obstacle avoidance capabilities—a critical step for comparing methods and defining operational limits in autonomous systems. This contribution addresses a long-standing gap in the field, providing a standardized tool for researchers and engineers. Additionally, his work on the Romeo2 Project (2014, 12 citations) explores situation assessment for social intelligence in humanoid robots, aiming to create assistants and companions for everyday life. By integrating perception and reasoning, Meertens advances how robots interpret and respond to human environments. His research, though modest in citation counts, lays foundational groundwork for safer, more capable robots, influencing both academic studies and practical robotics design. Meertens’ contributions are particularly valuable for students and researchers interested in benchmarking robotic performance and developing socially aware autonomous systems.