Renan P. Vieira

Universidade do Estado do Rio de Janeiro

Papers

Total Citations

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About

Renan P. Vieira is a robotics researcher whose work focuses on autonomous navigation and trajectory planning for car-like mobile robots, with a particular emphasis on solving complex, real-world maneuvering problems. His primary research areas include motion planning, optimization algorithms, and autonomous parking systems. Vieira’s major contribution lies in developing innovative approaches to parallel parking—a notoriously difficult task for both human drivers and autonomous systems. In his most cited work (2021, 24 citations), he introduced a method that combines curve parametrization with genetic algorithm optimization to generate smooth, collision-free trajectories for autonomous parking. This work addresses a critical bottleneck in self-driving technology by reducing traffic congestion and driver stress. His follow-up study (2022) refined these algorithms for practical implementation. Though still early in his career, Vieira’s research has already demonstrated tangible impact, with his 2021 paper serving as a reference for subsequent work in autonomous parking and mobile robot navigation. His contributions are particularly relevant for students and researchers interested in the intersection of optimization, control theory, and practical robotics applications.