Jiliang Jiang

Papers

Total Citations

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About

Jiliang Jiang’s research focuses on bio-inspired robotics and autonomous navigation, with a particular emphasis on developing intelligent motion planning algorithms for mobile robots. His work bridges neuroethology and robotics, drawing inspiration from biological systems to solve complex navigation challenges. In his most cited paper, “Cognitive response navigation algorithm for mobile robots using biological antennas” (2013), Jiang introduced BioBug—a novel algorithm that models biological antennae for environmental perception and integrates an improved Bug algorithm for motion planning and control. This approach enhances a robot’s ability to navigate dynamic environments by mimicking natural cognitive responses. His earlier work, “Path planning of mobile robot based on compound potential field method” (2012), tackled the well-known local minima problem in artificial potential field methods, proposing a compound potential field method (CPFM) to improve path efficiency and obstacle avoidance. Though his citation counts are modest (3 and 2 citations respectively), Jiang’s contributions are foundational in advancing bionic navigation systems, offering practical solutions for autonomous robotics. His research is particularly valuable for students and engineers exploring neuroethology-inspired algorithms and real-world robotic applications.