Le Duy Khoa

Papers

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About

Le Duy Khoa is a robotics researcher specializing in the control and application of pneumatic artificial muscle (PAM) systems and human-robot collaboration. His work focuses on developing intelligent controllers to manage the complex, nonlinear dynamics of soft robotic actuators. His most cited paper, "Synchronization controller for a 3-R planar parallel pneumatic artificial muscle (PAM) robot using modified ANFIS algorithm" (2013, 41 citations), introduces a novel adaptive neuro-fuzzy inference system (ANFIS) to achieve precise motion synchronization in a parallel PAM robot—a critical challenge for soft robotics. This contribution demonstrates a practical method for enhancing the accuracy and stability of compliant, muscle-driven robots. Khoa also explored assistive robotics in "Application of Grey predictor in controlling 5 DOF power assistant robot" (2012), addressing the demand for robots that combine mechanical power with human-like flexibility. His research bridges the gap between high-force industrial automation and safe, intuitive human-robot interaction, with applications in rehabilitation and collaborative manufacturing. Through his work on advanced control algorithms for PAM-based systems, Khoa contributes to the development of safer, more adaptable robots capable of working alongside humans.