Papers
16
Total Citations
412
H-Index
9
About
Eduardo Marques is a researcher whose work sits at the intersection of embedded systems, reconfigurable computing, and autonomous mobile robotics. His most influential contribution, "A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection" (2008, 175 citations), demonstrates his expertise in designing high-performance FPGA-based systems capable of tackling computationally demanding computer vision tasks, specifically applying SIFT-based feature detection to the simultaneous localization and mapping (SLAM) problem. This work established him as a leading voice in hardware-accelerated robotics perception. Marques has consistently advanced SLAM solutions through efficient hardware implementations, with multiple papers addressing Kalman filter architectures in floating-point FPGA designs — collectively accumulating nearly 100 citations — underscoring the real-world utility of his approaches. His earlier work on gesture recognition systems (2004) and artificial neural network hardware implementations (2001) reveals a career-long commitment to bridging intelligent algorithms with embedded platforms. The development of the ARCHITECT-R framework further reflects his interest in systematic robot design methodology. Across more than a decade of research, Marques has made compelling contributions toward making sophisticated probabilistic and vision-based algorithms practical for deployment on resource-constrained robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3A REAL TIME GESTURE RECOGNITION SYSTEM FOR MOBILE ROBOTS34 citations · 2004
- 4
- 5USING EMBEDDED PROCESSORS IN HARDWARE MODELS OF ARTIFICIAL NEURAL NETWORKS21 citations · 2001
- 6
- 7An FPGA-Based Mobile Robot Controller12 citations · 2007
- 8An Embedded Multi-camera System for Simultaneous Localization and Mapping12 citations · 2006
- 9ARCHITECT-R12 citations · 2003
- 10