Marcelo Sampaio
Papers
2
Total Citations
9
H-Index
2
About
Marcelo Sampaio is a robotics researcher focused on advancing human-robot interaction (HRI) through socially aware navigation systems. His work centers on integrating semantic annotations and proxemic modeling into robotic navigation, enabling robots to adapt their behavior based on dynamic social constraints such as culture, gender, and local context. His most cited paper, "Application of social constraints for dynamic navigation considering semantic annotations on geo-referenced maps" (2021, 6 citations), introduces a framework that allows robots to interpret human social preferences in real-time, improving their ability to navigate crowded or sensitive environments. Sampaio also developed the Erika architecture (2022, 3 citations), which combines a voice-based chatbot with social navigation, creating a more fluid and natural interaction between humans and service robots. Though early in his career, his contributions are gaining traction for addressing a critical gap in robotics: making machines not just functional, but socially intelligent. His work holds promise for applications in healthcare, hospitality, and public spaces, where robots must coexist harmoniously with people.
Research Focus
Key Achievements
Top Papers
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- 2