David Alejandro Ruiz Hidalgo
Papers
1
Total Citations
2
H-Index
1
About
David Alejandro Ruiz Hidalgo is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots in structured environments. His most-cited contribution, "Path generation and mapping based on global vision for mobile robots in structured environments" (2012), systematically implements and compares three classical path planning algorithms—Voronoi diagrams, visibility graphs, and cell decomposition—on a Pioneer 3DX platform using a global vision system. This foundational study provides a practical framework for integrating vision-based mapping with algorithmic path generation, offering insights into the trade-offs between computational efficiency and path optimality in real-world settings. While his citation count remains modest, the work serves as a valuable reference for students and researchers exploring sensor-based robot navigation, particularly in educational and laboratory contexts. Ruiz Hidalgo’s contribution lies in bridging theoretical path planning methods with tangible robotic implementation, demonstrating how global vision can enable reliable autonomous movement in controlled environments—a stepping stone for more advanced, sensor-rich robotic systems.
Research Focus
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Top Papers
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