Francisco Valero
Universitat Politècnica de València, Universitat de València, Valve (United States)
Papers
36
Total Citations
1,495
H-Index
16
About
Francisco Valero is a prominent robotics researcher whose work spans mobile robotics, robot dynamics, and trajectory planning — fields that sit at the intersection of mechanical engineering, artificial intelligence, and control systems. His highly cited 2019 review on mobile robots, which has accumulated nearly 750 citations, established him as a leading synthesizer of knowledge on autonomous systems, encompassing humanoid robots, drones, unmanned rovers, and entertainment robotics. This work has become an essential reference for researchers and engineers entering the field. Beyond mobile platforms, Valero has made significant contributions to the dynamics and control of industrial and parallel robots. His research on dynamic parameter identification — both direct and indirect methods — has advanced the precision of robot simulation and control strategies, while his serial-robot dynamics algorithms helped streamline computations for complex multi-joint systems. A recurring theme throughout his career is trajectory planning: Valero has pioneered evolutionary and genetic algorithm approaches to generating collision-free, energy-efficient, and time-optimal paths in cluttered environments, addressing real-world constraints such as torque, power, and jerk. With a publication record spanning over two decades and hundreds of collective citations, his work continues to shape how robots move intelligently and efficiently through complex workspaces.
Research Focus
Key Achievements
Top Papers
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- 2Identification of dynamic parameters of a 3-DOF RPS parallel manipulator112 citations · 2007
- 3Serial-robot dynamics algorithms for moderately large numbers of joints66 citations · 2002
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