Luis M. Aguilar
Papers
1
Total Citations
2
H-Index
1
About
Luis M. Aguilar’s research centers on embedded systems, real-time control, and robotics, with a particular focus on adaptive locomotion for multi-legged platforms. His most cited work, “Balance of a hexapod in real time using a FPGA” (2015), details a pioneering project that achieved dynamic balance for a hexapod robot using the NI myRIO-1900 embedded hardware. This contribution is notable for enabling the robot to autonomously adapt to uneven surfaces by processing tilt angles in real time through FPGA-based control. While his citation count remains modest—reflecting a niche, application-driven field—the work demonstrates a hands-on approach to bridging hardware and software for practical robotic stability. Aguilar’s achievement lies in translating complex control theory into a working prototype, showcasing how embedded platforms can solve real-world locomotion challenges. His research is particularly valuable for students and engineers interested in the intersection of robotics, field-programmable gate arrays, and real-time systems, offering a concrete example of how to implement adaptive balance algorithms in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Balance of a hexapod in real time using a FPGA2 citations · 2015