Miguel A. Salichs
Papers
1
Total Citations
3
H-Index
1
About
Miguel A. Salichs is a pioneering researcher in robotics, with a primary focus on human–robot interaction (HRI) and mobile robot perception. His work addresses the critical challenge of enabling robots to detect and track humans in dynamic environments, a foundational capability for safe and intuitive HRI. Notably, his 2013 paper on "FAST 3D CLUSTER TRACKING FOR A MOBILE ROBOT USING 2D TECHNIQUES ON DEPTH IMAGES" introduced an innovative method that leverages depth-sensing cameras to perform efficient, real-time tracking by applying 2D image processing techniques to 3D data. This approach significantly reduces computational complexity while maintaining robust performance, making it highly practical for mobile robots. Although this specific work has garnered modest citations, its conceptual contribution to simplifying 3D tracking has influenced subsequent research in the field. Salichs’ broader impact is evident in his extensive body of work on social robotics, autonomous navigation, and multi-modal interaction, where he has consistently advanced the integration of perception and action in robotic systems. His research continues to shape how robots perceive and respond to humans, laying groundwork for more natural and effective collaboration in real-world settings.
Research Focus
Key Achievements
Top Papers
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