Marco Quiroz

Papers

Total Citations

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About

Marco Quiroz is a leading researcher in social robotics, with a focused expertise on Human-Robot Interaction (HRI) and affective computing. His primary contribution lies in advancing how autonomous robots perceive and respond to human emotions in shared social spaces. Quiroz’s most influential work, "Group Emotion Detection Based on Social Robot Perception" (2022, 30 citations), pioneers methods for robots to interpret the collective emotional state of multiple people, a critical step for deploying robots in crowded environments like hospitals or shopping centers. This work addresses a key challenge in HRI: enabling robots to plan trajectories and modify behaviors based on real-time emotional cues. He further strengthens the field with his "Dataset to Detect Emotions from a Robot-Centric Perspective" (2022), providing a foundational resource for training perception models from a robot’s point of view. By shifting emotion detection from a human-centered to a robot-centered framework, Quiroz is shaping the next generation of socially aware machines. His research is essential for students and engineers aiming to build robots that interact naturally, safely, and empathetically with people.