Jose A. Villasante-Bembibre
Papers
1
Total Citations
2
H-Index
1
About
Jose A. Villasante-Bembibre is a researcher specializing in robotics, control systems, and intelligent sensing for uncertain environments. His work focuses on integrating advanced computational models with real-world robotic applications, particularly in obstacle avoidance and autonomous navigation. His most cited paper, "Robot guiding with obstacle avoidance algorithm for uncertain environments based on DTCNN" (2010, 2 citations), introduces a novel approach using Discrete Time Cellular Non-Linear Networks (DTCNN) to enhance robot guidance. This work demonstrates the feasibility of two distinct applications: a high data rate system employing a CMOS camera for visual processing, and a low data rate system utilizing ultrasonic sensors for proximity detection. By leveraging DTCNN's parallel processing capabilities, Villasante-Bembibre's algorithm enables robust, real-time obstacle avoidance in dynamic and unpredictable settings. His contributions bridge theoretical nonlinear dynamics with practical robotics, offering scalable solutions for autonomous systems. Though his citation count is modest, his work represents a foundational step in applying cellular neural networks to robotic perception and control, with potential implications for autonomous vehicles, industrial automation, and mobile robotics in unstructured environments.
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Top Papers
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