G. Javier

Papers

Total Citations

H-Index

About

G. Javier’s research lies at the intersection of affective computing, human-robot interaction (HRI), and assistive robotics for aging populations. Their most cited work, “Speech emotion recognition in emotional feedback for Human-Robot Interaction” (2015, 61 citations), is a foundational contribution that demonstrates how robots can autonomously plan actions and interact naturally by decoding human emotions from nonverbal speech cues—such as pitch, loudness, and speech rate. This paper has shaped subsequent studies on emotionally intelligent robotic systems. Javier also made significant strides in assistive technology with “A Multi-Actor Framework Centered around an Assistive Mobile Robot for Elderly People Living Alone” (2018, 5 citations), which outlines the core architecture of the European project MoveCare. This framework integrates a mobile robot with multiple actors—caregivers, family, and smart home sensors—to support independent living for the elderly. While still emerging, this work addresses a critical societal challenge of aging populations. Javier’s contributions highlight a commitment to developing robots that are not only autonomous but also empathetic and socially aware, bridging technical innovation with real-world human needs.