Hugo Carneiro
Papers
1
Total Citations
12
H-Index
1
About
Hugo Carneiro is a researcher at the intersection of social robotics and cognitive science, focusing on how humanoid robots can perceive and respond to complex social cues in real-world environments. His most-cited work, "A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution" (2023, 12 citations), addresses a critical challenge in human-robot interaction: enabling robots to resolve incongruent information across sensory modalities—such as conflicting visual and auditory social signals—much like humans do. By training a humanoid robot to exhibit crossmodal social attention and conflict resolution, Carneiro demonstrates a novel approach to making robots more socially adept and responsive. This work has implications for designing robots that can navigate dynamic, multi-cue settings, from assistive care to collaborative tasks. Carneiro’s contributions advance the field of socially aware robotics, bridging gaps between artificial intelligence and human-like social cognition. His research is particularly valuable for students and engineers aiming to build robots that interact naturally and intuitively with people, paving the way for more seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1