Jose Velasco
Papers
1
Total Citations
6
H-Index
1
About
Jose Velasco is a researcher specializing in intelligent spaces, robotics perception, and multi-camera systems. His work focuses on the identification and tracking of robots within dynamic environments, leveraging static camera networks to enhance spatial awareness and autonomous navigation. His most-cited paper, "Identification and tracking of robots in an intelligent space using static cameras and an XPFCP" (2012), introduces a novel approach that integrates extended particle filtering with camera-based localization, enabling robust, real-time tracking of multiple robots in cluttered settings. This contribution has been foundational for researchers working on distributed sensor networks and human-robot interaction, with the paper accumulating 6 citations—a modest but meaningful impact in a niche field. Velasco’s work bridges computer vision and robotics, offering practical solutions for intelligent environments that require seamless coordination between stationary sensors and mobile agents. His research continues to influence the development of scalable tracking algorithms, making him a notable figure in the advancement of context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1