Francisco Rubio
Universitat Politècnica de València, Universitat de València
Papers
19
Total Citations
1,093
H-Index
12
About
Francisco Rubio is a prominent robotics and automation researcher whose work spans mobile robotics, industrial robot trajectory planning, and multi-objective optimization. He is perhaps best known for his 2019 comprehensive review of mobile robots — encompassing humanoid robots, drones, unmanned rovers, and entertainment platforms — which has accumulated an impressive 749 citations, establishing it as a foundational reference in the field. This work systematically mapped the concepts, methods, and theoretical frameworks underpinning autonomous mobile systems. Beyond mobile robotics, Rubio has made significant contributions to industrial robot trajectory planning, developing algorithms that generate efficient, collision-free paths while satisfying real-world constraints such as torque, power, jerk, and energy consumption. His evolutionary and optimization-based approaches have directly addressed productivity and economic considerations in manufacturing environments, bridging the gap between theoretical robotics and practical industrial applications. More recently, Rubio has extended his expertise toward sustainable automation, tackling multi-objective optimization of costs and energy efficiency in autonomous industrial processes. His work on car-like mobile robots further demonstrates his commitment to understanding how physical parameters — such as friction and energy consumption — influence real-world trajectory performance. Collectively, his research has shaped how engineers design smarter, more efficient robotic systems across both industrial and autonomous mobile domains.
Research Focus
Key Achievements
Top Papers
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- 9Simultaneous algorithm to solve the trajectory planning problem17 citations · 2009
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