Edgar Guevara-Reyes
Papers
2
Total Citations
5
H-Index
2
About
Dr. Edgar Guevara-Reyes is a robotics and artificial intelligence researcher whose work focuses on the intersection of autonomous navigation, optimal control, and machine learning. His primary research areas include simultaneous localization and mapping (SLAM), reinforcement learning, and inverse optimal control for mobile robotics. Dr. Guevara-Reyes has made significant contributions to the development of intelligent navigation systems that enable robots to operate effectively in unknown and dynamic environments. His most notable work, "Integration of an inverse optimal control system with reinforced-SLAM for path planning and mapping in dynamic environments" (2013), presents a novel artificial intelligence framework that combines reinforcement learning with SLAM and optimal control for differential mobile robots. This approach allows robots to autonomously plan paths and create maps without prior knowledge of their surroundings. Building on this foundation, his 2015 paper further refined the integration of an inverse optimal neural controller with reinforced-SLAM, demonstrating continued innovation in adaptive robotic navigation. While his citation counts reflect a focused, emerging research trajectory, his work represents an important step toward more intelligent, self-learning robotic systems capable of operating in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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