Rodrigo Geurgas Zavarizz

Papers

Total Citations

H-Index

About

Rodrigo Geurgas Zavarizz is a leading researcher at the intersection of human-robot interaction (HRI) and adaptive educational technologies. His work focuses on making social robots not just interactive, but truly intelligent partners capable of personalizing their behavior to individual human users. His most influential project, **R-CASTLE** (Robotic-Cognitive Adaptive System for Teaching and Learning), explores how robots can dynamically adjust their teaching strategies based on a learner’s real-time performance and engagement. This work, which has garnered 15 citations, addresses a critical gap: while social robots boost motivation, most lack the sophisticated adaptation needed for sustained, effective tutoring. Zavarizz’s foundational 2018 paper on task-based adaptation (11 citations) further established a framework for personalizing robot behavior in assistive and educational contexts. By demonstrating that robots can move beyond scripted interactions to become responsive learning companions, Zavarizz is paving the way for the next generation of empathetic, context-aware robotic tutors and assistants.