Laurinda dos Reis

Papers

Total Citations

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About

Laurinda dos Reis is a researcher in robotics and control systems, with a focus on trajectory planning and dynamic modeling for industrial manipulators. Her work addresses critical inefficiencies in automated production, particularly robot stoppages that disrupt manufacturing processes. In her highly cited 2020 paper (42 citations), she pioneered the integration of artificial potential fields with metaheuristic optimization algorithms for trajectory planning, offering a robust solution to path-planning challenges that balances safety and efficiency. More recently, in 2024, she advanced the field by developing a dynamic model for a manipulator joint, employing Linear-Quadratic-Gaussian (LQG) control optimized through Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). This work demonstrates her commitment to combining classical control theory with modern computational intelligence to enhance robot performance. With a growing citation record, dos Reis is establishing herself as a contributor to the practical optimization of industrial robotics, bridging theoretical frameworks and real-world application. Her research holds particular relevance for students and engineers seeking to improve automation reliability and productivity in smart manufacturing environments.