Alana de Santana Correia

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About

Alana de Santana Correia is a robotics researcher whose work focuses on advancing path planning and autonomous navigation for mobile robots. Her key contributions lie in developing more efficient and compact algorithms for robot motion, most notably through her work on Rapidly-exploring Random Trees (RRTs). In her highly cited paper "RRT-Edge: A compact approach for path planning of mobile robots" (2017), she introduced a novel method that enhances node dispersion within the tree structure, enabling a more accurate representation of the environment while significantly reducing the total number of nodes required. This is achieved through an innovative node-tree connection technique that improves both computational efficiency and path quality. With 4 citations, this work has been recognized for its practical impact on real-world robotic applications, offering a streamlined solution for complex navigation challenges. Her research is particularly valuable for students and engineers seeking to optimize autonomous systems, as it balances algorithmic simplicity with robust performance. Alana’s contributions continue to influence the field of mobile robotics, making her a notable figure in the development of intelligent, space-aware navigation technologies.