Lilibet Lopez-Franco

Papers

Total Citations

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About

Lilibet Lopez-Franco is a researcher whose work lies at the intersection of robotics, optimization, and intelligent control systems. Her most recognized contribution is the development of an obstacle avoidance algorithm based on Particle Swarm Optimization (PSO), a stochastic optimization technique. In her 2012 paper "Obstacle avoidance using PSO," she modified the traditional PSO algorithm to solve path-planning challenges, where each particle represents a potential new position for a robot navigating around obstacles. This work, which has garnered 6 citations, demonstrates her ability to adapt nature-inspired algorithms for practical robotic applications. Lopez-Franco's research is particularly valuable for autonomous systems operating in dynamic environments, where real-time decision-making is critical. Her approach offers a computationally efficient alternative to classical path-planning methods, making it relevant for fields ranging from mobile robotics to drone navigation. While her citation count reflects a focused but impactful body of work, her contributions to PSO-based obstacle avoidance represent a meaningful step toward more adaptive and intelligent autonomous systems.