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About

J. Huerta-Chua is a robotics and automation researcher whose work centers on path planning, obstacle avoidance, and motion control for autonomous mobile robots and robotic manipulators. With a growing body of work that has accumulated over 28 citations, Huerta-Chua has established a focused research identity at the intersection of computational geometry, homotopy theory, and practical robotics applications. Among their most notable contributions is the development of a homotopic quasi-complete path planning method for multiple-target navigation, which addresses the complex demands of inspection robots operating in critical industrial environments such as thermal and nuclear facilities. This 2020 work remains their most cited, reflecting the field's appetite for reliable autonomous navigation solutions. Huerta-Chua extended this homotopy-based framework to planar robotic arms, presenting a novel collision-free algorithm that broadens applicability across robot morphologies. Their 2021 exploration of resistive grid-based planning for high-DOF manipulators opens promising avenues for surgical, pharmaceutical, and space robotics. More recently, their hierarchical controller design for wheeled mobile robots demonstrates a systems-level sophistication, integrating mechanical, actuator, and power electronics dynamics into a unified obstacle avoidance framework — a contribution of considerable practical depth for real-world deployment.