Arturo Espinosa
Papers
2
Total Citations
10
H-Index
2
About
Arturo Espinosa’s research centers on the intersection of robot control and computer vision, with a particular focus on visual servoing and velocity field methodologies. His major contributions lie in developing innovative control algorithms that allow robots to navigate and manipulate objects using direct visual feedback, bypassing the need for complex time-dependent functions. His 2008 work on output regulation via velocity fields introduced a framework that enables more flexible and robust robot control by describing objectives in terms of spatial relationships rather than temporal trajectories. In 2009, Espinosa proposed a simplified yet effective approach for 2D visual servoing, allowing control objectives to be specified directly through image coordinates—a practical advancement for point-to-point regulation tasks. Though his most-cited papers have accumulated modest citation counts of 5 each, they represent foundational ideas in the field of visual servoing. Espinosa’s work is particularly notable for its emphasis on intuitive, image-based control strategies that reduce computational complexity while maintaining precision, making his contributions valuable for researchers exploring real-time robotic applications and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1On output regulation of direct visual servoing via velocity fields5 citations · 2008
- 2A simple approach for 2D visual servoing5 citations · 2009