J. M. S. T. Motta
Papers
1
Total Citations
2
H-Index
1
About
J. M. S. T. Motta’s research centers on the intersection of embedded systems and mobile robotics, with a particular focus on hardware-software co-design for real-time localization. Their most notable contribution is a pioneering approach to implementing the Extended Kalman Filter (EKF) on an Altera Cyclone IV FPGA, paired with a Nios II embedded processor. By partitioning the computationally intensive EKF algorithm between custom hardware modules and software, Motta demonstrated a significant acceleration of the localization problem—a critical challenge in autonomous navigation. This work, detailed in their 2015 paper, has garnered 2 citations and stands as a practical blueprint for engineers seeking to balance flexibility and performance in resource-constrained robotic platforms. Motta’s achievement lies not just in the technical implementation, but in proving that co-design methodologies can make complex state estimation feasible on low-power, embedded hardware. For students and researchers exploring real-time robotics or FPGA-based accelerators, Motta’s work offers a clear, applied example of how to bridge algorithmic theory with hardware reality.
Research Focus
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Top Papers
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