Pedro B. Fernandes

Universidade Federal do Sul e Sudeste do Pará

Papers

Total Citations

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About

Pedro B. Fernandes is a leading researcher in autonomous mobile robotics and computational intelligence, with a primary focus on trajectory planning and optimization algorithms. His most significant contribution lies in the development of novel swarm intelligence methods for robotic path planning, particularly through his work on particle swarm optimization (PSO) variants. His highly cited 2021 paper, "Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity," which has garnered 71 citations, introduces an innovative approach that enhances population diversity to improve trajectory efficiency and robustness. Earlier, in his 2018 work "A Modified QPSO for Robotic Vehicle Path Planning" (9 citations), Fernandes proposed a modified Quantum-Behaved Particle Swarm Optimization (QPSO) algorithm that effectively generates more diverse particle swarms, enabling superior path planning in complex environments. His research bridges theoretical optimization with practical robotic applications, offering scalable solutions for autonomous navigation. Fernandes’ work is widely recognized for its impact on advancing real-time, adaptive motion planning, making him a key figure in the intersection of swarm intelligence and mobile robotics.