D. Jorge Lopez

Universidad Autónoma de Colombia, University of Manchester

Papers

Total Citations

H-Index

About

D. Jorge Lopez is a robotics researcher specializing in trajectory planning, machine vision, and nonholonomic mobile robot control. His work addresses fundamental challenges in enabling wheeled robots, boats, and aerial vehicles to navigate autonomously under differential constraints. His most cited paper, "Trajectory planning for a robotic mobile using fuzzy c-means and machine vision" (2013, 7 citations), introduces a novel system that combines conventional camera-based scene capture with fuzzy c-means clustering algorithms to generate smooth, collision-free paths for tele-commanded mobile robots. This approach demonstrates how image processing can be integrated with fuzzy logic to enhance real-time navigation. In his subsequent work, "Computing Capture Tubes" (2016, 2 citations), Lopez tackles the complex problem of guaranteeing safe motion for robots with nonholonomic constraints—such as minimum turning radii—by developing computational methods to determine capture tubes, which define the set of states from which a robot can reach a target while avoiding obstacles. Though his citation counts are modest, Lopez's contributions are technically significant for researchers working on the intersection of computer vision, fuzzy control, and constrained motion planning in field robotics.