Jose J. Lopez-Perez
Papers
2
Total Citations
35
H-Index
2
About
Jose J. Lopez-Perez is a leading researcher in multi-robot systems and swarm intelligence, with a focus on distributed coordination and autonomous exploration. His major contributions include pioneering distributed path planning methods that leverage the Artificial Bee Colony algorithm to enable efficient, parallel motion coordination for multi-robot teams—a breakthrough that allows robots to navigate complex environments without centralized control. His work on distributed multirobot exploration, based on scene partitioning and frontier selection, has advanced how robots autonomously map unknown spaces, balancing exploration efficiency with computational scalability. These innovations, published in 2017 and 2018, have garnered 18 and 17 citations respectively, reflecting their growing influence in robotics and artificial intelligence. Lopez-Perez’s research is particularly notable for integrating swarm intelligence principles into practical, scalable solutions for real-world robotic teams, from search-and-rescue to environmental monitoring. His achievements underscore a commitment to solving fundamental challenges in multi-agent coordination, making him a key figure for students and researchers interested in the intersection of robotics, optimization, and distributed systems.
Research Focus
Key Achievements
Top Papers
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