Papers
4
Total Citations
34
H-Index
3
About
Hamilton Junior Mendes Lopes is a pioneering researcher in swarm robotics and bio-inspired navigation control, with a focus on surveillance and patrolling tasks. His work uniquely integrates cellular automata, ant colony optimization, and evolutionary algorithms to develop decentralized, emergent behaviors for multi-robot systems. Lopes’s most influential paper, “Evolutionary Tabu Inverted Ant Cellular Automata with Elitist Inertia for swarm robotics as surrogate method in surveillance task using e-Puck architecture” (2021, 15 citations), introduces a novel hybrid algorithm that combines tabu search, inverted ant dynamics, and elitist inertia to optimize robot coordination in complex environments. His subsequent studies (2022, 10 citations; 2020, 7 citations) further refine these models, demonstrating how simple local rules can produce efficient global surveillance strategies, reducing energy and time costs. Lopes’s work is notable for its practical validation on e-Puck robot architectures, bridging theoretical swarm intelligence with real-world implementation. His latest research (2023, 2 citations) extends these principles to patrolling simulations, using genetic algorithms to evolve ant-memory cellular automata maps. With a growing citation footprint, Lopes is establishing himself as a key contributor to the intersection of cellular automata, swarm robotics, and evolutionary optimization, offering scalable solutions for autonomous surveillance systems.
Research Focus
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