R. A. M. Carvalho
Papers
1
Total Citations
2
H-Index
1
About
R. A. M. Carvalho is a researcher at the forefront of integrating artificial intelligence with industrial automation, with a primary focus on pallet detection and localization using commercial off-the-shelf (COTS) sensors. Their most-cited work, "Comparison of Pallet Detection and Location Using COTS Sensors and AI Based Applications" (2024), has garnered 2 citations, marking a foundational contribution to the field of intelligent logistics and warehouse robotics. Carvalho's research addresses a critical bottleneck in automated material handling: the reliable identification and positioning of pallets in dynamic, real-world environments. By systematically evaluating the performance of various COTS sensors—such as depth cameras and LiDAR—paired with AI-driven algorithms, their work provides a practical benchmark for deploying cost-effective, scalable solutions in manufacturing and supply chain settings. This comparative analysis not only advances the state of the art in computer vision and sensor fusion but also offers actionable insights for engineers seeking to retrofit existing facilities with smart automation. Carvalho’s contributions are particularly notable for bridging the gap between theoretical AI research and industrial application, making them a key figure in the ongoing transformation of logistics through accessible, sensor-based intelligence.
Research Focus
Key Achievements
Top Papers
- 1