J. Orozco
Papers
9
Total Citations
166
H-Index
6
About
J. Orozco is a researcher whose work spans mobile robotics, multisensor fusion, and remote laboratory education, with contributions that have meaningfully advanced both theoretical frameworks and practical teaching tools in robotics engineering. Beginning in the late 1990s, Orozco focused on the challenge of integrating heterogeneous sensor data for autonomous mobile robots, developing distributed, asynchronous fusion architectures capable of robustly estimating robot position and orientation in real-world conditions. This foundational work evolved into sophisticated probabilistic approaches, including a unified fusion system modeled as a dynamic Bayesian network, enabling formalized reasoning about both robot localization and environmental state. Orozco also explored neural virtual sensors to simplify sensory complexity in legged robots navigating uneven terrain. A pivotal contribution came with the 2013 paper on virtual and remote robotic laboratories using EJS, MATLAB, and LabVIEW, which garnered 98 citations and reflects a strong commitment to accessible robotics education. More recently, Orozco continued this pedagogical mission by developing a low-cost, open-source remote laboratory for the Dobot Magician robotic arm at the Universidad Complutense de Madrid. Across a career spanning over two decades, Orozco's research demonstrates a consistent dedication to making autonomous robotics both more intelligent and more teachable.
Research Focus
Key Achievements
Top Papers
- 1Virtual and Remote Robotic Laboratory Using EJS, MATLAB and LabVIEW98 citations · 2013
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- 4Neural virtual sensors for terrain adaptation of walking machines10 citations · 2005
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- 6An open sensing architecture to autonomous mobile robots7 citations · 2002
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- 8Integración y fusión multisensorial en robots móviles autónomos2 citations · 1999
- 9Multisensor fusion of environment measures using Bayesian Networks2 citations · 1998