Papers
2
Total Citations
33
H-Index
2
About
Francesc Moreno is a leading researcher in human-robot interaction and computer vision, with a focus on enabling machines to understand and anticipate human behavior. His work bridges the gap between perception and action, particularly in collaborative robotics. A key contribution is his pioneering approach to contextual human motion prediction and intention inference, as detailed in his 2024 paper, which has already garnered 17 citations. This work addresses the critical challenge of predicting future human movements from past observations, essential for safe and fluid human-robot collaboration. Earlier, Moreno made foundational contributions to face localization with his 2002 paper (16 citations), where he fused color segmentation with stereo depth data to robustly detect faces in complex scenes. This early work demonstrated his long-standing interest in integrating multiple sensory cues for reliable perception. Moreno’s research is highly impactful for students and engineers working on autonomous systems, as it provides practical frameworks for making robots more responsive and intuitive partners in shared tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2Localization of human faces fusing color segmentation and depth from stereo16 citations · 2002