Flavio Prieto
Papers
10
Total Citations
199
H-Index
5
About
Flavio Prieto is a leading researcher in robotics and human-robot interaction, with a focus on programming by demonstration (PbD) and multimodal interfaces. His work centers on enabling robots to learn complex tasks from human demonstrations, reducing the need for explicit programming. Prieto’s most cited paper, “Trajectory generation for robotic assembly operations using learning by demonstration” (105 citations), introduces methods for robots to autonomously generate assembly trajectories by observing human actions, a breakthrough for flexible manufacturing. He has also advanced incremental skill learning through task-parameterized Gaussian mixture models, allowing robots to adapt to new scenarios without retraining. In collaborative robotics, Prieto developed real-time map merging strategies for multi-robot systems to reconstruct unknown environments, achieving 24 citations. His innovative work on audio-visual speech recognition and mouth gesture-based robot command interfaces demonstrates a commitment to accessible, intuitive control systems, including a system that relies solely on mouth movements to avoid head rotation artifacts. With over 200 total citations, Prieto’s contributions bridge machine learning, computer vision, and robotics, making him a key figure in developing adaptive, human-friendly robotic systems for industrial and service applications.
Research Focus
Key Achievements
Top Papers
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- 4Mouth gesture and voice command based robot command interface24 citations · 2009
- 5Robot Command Interface Using an Audio-Visual Speech Recognition System6 citations · 2009
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- 8Lips Movement Segmentation and Features Extraction in Real Time3 citations · 2007
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