Haritz Arzelus

Papers

Total Citations

H-Index

About

Haritz Arzelus is a leading researcher in human-robot interaction, with a particular focus on natural communication within industrial environments. His most cited work, "Towards a Natural Human-Robot Interaction in an Industrial Environment" (2020, 11 citations), pioneers methods for enabling intuitive, speech-based collaboration between humans and robots on factory floors. Arzelus’s contributions center on developing multimodal interfaces that integrate voice commands, gesture recognition, and contextual awareness, reducing barriers to automation in manufacturing. By prioritizing user-friendly, adaptive systems, his research addresses critical safety and efficiency challenges in Industry 4.0 settings. Beyond his flagship paper, Arzelus has advanced the field through studies on real-time robot feedback and error recovery, earning recognition for bridging the gap between theoretical HRI and practical deployment. His work is foundational for students and engineers aiming to design robots that work seamlessly alongside people, with implications for smart factories and beyond.