Fan Liu

Xi'an Jiaotong University, Xi'an University of Science and Technology

Papers

Total Citations

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About

Fan Liu is a pioneering researcher at the intersection of soft robotics and intelligent autonomous systems, with a focus on bio-inspired actuation and machine learning-driven navigation. His most influential work, "Soft mobile robots driven by foldable dielectric elastomer actuators" (2016, 58 citations), introduced a novel foldable actuator design using antagonistic dielectric elastomer membranes—a breakthrough that enabled lightweight, compliant motion in soft robots. By integrating rigid bars with prestressed membranes, Liu’s design enhanced actuation efficiency, laying the groundwork for safer, more adaptable robotic systems. More recently, he has advanced autonomous navigation with "Intelligent Navigation of Indoor Robot Based on Improved DDPG Algorithm" (2023, 5 citations), addressing the challenge of real-time decision-making in complex, unknown environments. This work leverages deep reinforcement learning to overcome the limitations of traditional path planning, offering a robust solution for indoor robotics. Liu’s contributions bridge fundamental materials engineering and cutting-edge AI, demonstrating impact in both soft robotics and autonomous systems. His research not only pushes the boundaries of robot mobility but also inspires new approaches to integrating mechanical compliance with intelligent control.