Vitor R. Munhoz
Papers
2
Total Citations
11
H-Index
2
About
Vitor R. Munhoz is a leading researcher in social robotics, with a primary focus on developing sociable robots that can seamlessly interact with humans through intuitive, multimodal interfaces. His work centers on hybrid knowledge representation and learning by tutelage, enabling robots to acquire environmental concepts directly from human teachers rather than requiring explicit programming. Munhoz’s most influential paper, “Hybrid knowledge representation applied to the learning of the shared attention” (2008, 8 citations), introduces a robotic architecture that dramatically reduces the time and effort needed to build sociable agents capable of recognizing humans and engaging in joint attention—a foundational skill for social interaction. In his complementary work, “Applying Learning by Tutelage and Multimodal Interface to Sociable Robots” (2008, 3 citations), he integrates face detection, pose estimation, object saliency, and speech recognition into a cohesive system that allows robots to learn from natural human guidance. These contributions have advanced the field by demonstrating how embodied agents can become part of heterogeneous human-robot societies, learning socially in real-world contexts. Munhoz’s research remains essential reading for students and engineers aiming to create robots that are not just tools, but genuine social partners.
Research Focus
Key Achievements
Top Papers
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