Papers
6
Total Citations
68
H-Index
4
About
Soraya Arias is a roboticist whose research bridges the gap between humanoid locomotion and socially-aware perception, with a particular focus on safe, multimodal human-robot interaction. Her most influential work, "BIPedal walking: from gait design to experimental analysis" (2004, 32 citations), provides foundational insights into stable bipedal gait generation, a cornerstone for humanoid mobility. Arias has since advanced the field of robot perception, notably through "Online multimodal speaker detection for humanoid robots" (2012, 16 citations), where she introduced an online audio-visual system for the NAO robot that fuses camera and microphone data using a multimodal Gaussian mixture model (mGMM) to robustly detect speakers in dynamic environments. Her contributions to safe robot control are exemplified by the ORCCAD framework (2006, 8 citations; 2010, 6 citations), which provides a model-driven approach for designing and implementing reliable robotic controllers. More recently, her work on "Audio-Visual Variational Fusion for Multi-Person Tracking with Robots" (2019, 4 citations) extends these perceptual capabilities to complex multi-person scenarios. Arias’s latest research, "Socially Pertinent Robots in Gerontological Healthcare" (2025, 2 citations), signals a forward-looking commitment to deploying socially intelligent robots in real-world care settings, underscoring her impact on both the technical and ethical dimensions of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1BIPedal walking: from gait design to experimental analysis32 citations · 2004
- 2Online multimodal speaker detection for humanoid robots16 citations · 2012
- 3Orccad, a framework for safe robot control design and implementation8 citations · 2006
- 4
- 5Audio-Visual Variational Fusion for Multi-Person Tracking with Robots4 citations · 2019
- 6Socially Pertinent Robots in Gerontological Healthcare2 citations · 2025