Papers
7
Total Citations
51
H-Index
4
About
Luis Rabelo is a researcher whose work spans intelligent control systems, robotics, and, more recently, aerospace logistics and systems engineering. His most recognized contributions lie in the development of hierarchical neurocontroller architectures for robotic manipulation — a body of work he began establishing as early as 1992. His pioneering research demonstrated how artificial neural networks, organized in hierarchical systems, could effectively manage complex tasks such as workspace delineation, coordinate transformation, and trajectory planning for robotic arms. His 2002 paper on intelligent robotic arm control, his most cited work with 17 citations, refined these ideas further by incorporating restricted Coulomb energy networks into a multi-layered neural framework, showcasing a sustained commitment to advancing intelligent robotics over a decade of research. In more recent years, Rabelo has broadened his scope to address large-scale engineering and humanitarian challenges. His 2022 work examined organizational factors influencing systems engineering performance in space vehicle launches, while his 2024 study explored the provocative concept of leveraging commercial rocket technology — including SpaceX capabilities — for strategic humanitarian logistics. This evolution reflects a researcher unafraid to cross disciplinary boundaries, connecting foundational work in neural control systems with ambitious applications in aerospace and global logistics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hierarchical neurocontroller architecture for robotic manipulation14 citations · 1992
- 3Artificial neural networks for robotics coordinate transformation10 citations · 1992
- 4
- 5Adaptive control of a manipulator using artificial neural networks3 citations · 1992
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- 7