Santiago‐Omar Caballero‐Morales
Papers
3
Total Citations
99
H-Index
3
About
Santiago-Omar Caballero-Morales is a leading researcher at the intersection of human-robot interaction, assistive robotics, and affective computing. His work focuses on enabling robots to perceive and respond to human emotions, with a particular emphasis on multimodal emotion recognition using evolutionary computation. His most cited paper, "Multimodal emotion recognition with evolutionary computation for human-robot interaction" (2016, 72 citations), demonstrates how combining facial expressions and speech cues can improve robotic empathy and responsiveness. Caballero-Morales has also made significant contributions to robot-assisted transcription, notably developing motion models for the humanoid Bioloid platform to write the Spanish alphabet and transcribe Mexican Spanish speech. These efforts advance service robotics for assistive technologies, where precise mechanical control is essential. His research on the Bioloid system (2015, 24 citations) highlights the platform’s flexibility for rehabilitation and educational applications. By integrating evolutionary algorithms with robotic perception and control, Caballero-Morales is helping to create more intuitive, socially aware machines that can support humans in daily tasks. His work is foundational for students and researchers exploring emotion-aware robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3