Guillermo Cabezas-López
Papers
1
Total Citations
5
H-Index
1
About
Guillermo Cabezas-López is a leading researcher at the intersection of human-robot interaction, mixed reality, and industrial automation. His work focuses on transforming disassembly and manufacturing processes by integrating collaborative robots with immersive technologies to enhance precision, safety, and adaptability. Cabezas-López’s most-cited paper, “Human–Robot Interaction and Tracking System Based on Mixed Reality Disassembly Tasks” (2025), introduces a novel framework that uses mixed reality to enable real-time, flexible task planning—overcoming the rigidity of traditional sequential methods. This contribution has already garnered 5 citations, signaling growing impact in the field of advanced manufacturing. His research addresses critical challenges in handling complex components, where strict safety standards and high precision are paramount. By developing systems that allow robots and humans to work seamlessly together, Cabezas-López is paving the way for smarter, more responsive industrial environments. His work is particularly relevant for students and researchers exploring the future of human-robot collaboration, offering practical solutions that bridge the gap between virtual planning and physical execution.
Research Focus
Key Achievements
Top Papers
- 1