Andres Vasquez
Papers
2
Total Citations
36
H-Index
2
About
Andres Vasquez is a researcher at the forefront of socially-aware robotics, specializing in deep learning for 3D perception and human-robot interaction. His work focuses on enabling robots to detect and understand people, including those with mobility aids, to facilitate safer and more empathetic assistance in populated environments like hospitals. Vasquez’s most cited paper, “Deep 3D perception of people and their mobility aids” (2019, 33 citations), introduces a novel approach for robots to recognize individuals with physical impairments or advanced age, allowing for cautious and appropriate interaction. This contribution addresses a critical gap in robotics: the need to perceive not just people, but their specific assistive devices and mobility challenges. His earlier work, “Deep Detection of People and their Mobility Aids for a Hospital Robot” (2017), laid the groundwork for this research, emphasizing the importance of recognizing advanced demands for assistance. With a growing citation impact, Vasquez’s work is shaping the future of assistive robotics, making autonomous systems more inclusive and responsive to diverse human needs.
Research Focus
Key Achievements
Top Papers
- 1Deep 3D perception of people and their mobility aids33 citations · 2019
- 2Deep Detection of People and their Mobility Aids for a Hospital Robot3 citations · 2017