Daniel Bazo
Papers
1
Total Citations
32
H-Index
1
About
Daniel Bazo is a robotics researcher whose work centers on human-robot interaction, social robotics, and expressive robotic design. His most notable contribution is the development of the BERT2 social robot at the Bristol Robotics Laboratory, a platform designed to explore how humans and robots communicate. In his highly cited 2010 paper (32 citations), Bazo pioneered a hybrid expressive face for BERT2, combining a plastic faceplate with an LCD display to create dynamic facial expressions—an innovative approach that bridges physical and digital interaction. This work has been foundational for researchers studying non-verbal communication in robotics, demonstrating how simple, cost-effective designs can enhance a robot’s social presence. Bazo’s research has influenced subsequent projects in affective computing and human-robot interaction, providing a practical framework for building more engaging and relatable robotic faces. His contributions continue to inspire students and engineers working at the intersection of design, psychology, and robotics.
Research Focus
Key Achievements
Top Papers
- 1Design and testing of a hybrid expressive face for a humanoid robot32 citations · 2010