Guilherme Carlos R. de Oliveira
Papers
1
Total Citations
12
H-Index
1
About
Guilherme Carlos R. de Oliveira is a robotics researcher whose work centers on intelligent navigation and path planning for mobile robots operating under real-world constraints. His most-cited paper, "A Hybrid Path-Planning Strategy for Mobile Robots with Limited Sensor Capabilities" (2019, 12 citations), tackles a fundamental challenge: enabling robots with restricted sensors and processing power to navigate unknown environments. Rather than relying on prior maps, Oliveira’s approach integrates a mapping algorithm with a global path planner that activates only when sufficient environmental data is available, creating a flexible, adaptive system. This hybrid strategy is particularly valuable for low-cost or resource-constrained platforms, bridging the gap between theoretical planning and practical deployment. By addressing the critical intersection of sensor limitations and autonomous navigation, Oliveira contributes to making mobile robotics more accessible and robust. His work is especially relevant for students and researchers interested in field robotics, embedded systems, and algorithms that prioritize efficiency without sacrificing performance.
Research Focus
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Top Papers
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