Papers
2
Total Citations
37
H-Index
2
About
Aizun Liu is a leading researcher in mobile robotics, specializing in path planning and multi-locomotion systems. Their work addresses the critical challenge of enabling robots to autonomously navigate complex, dynamic environments by intelligently selecting and switching between locomotion modes—such as those used in bionic insect microrobots and animal-like robots. Liu’s most cited paper, “Path Planning Algorithm for Multi-Locomotion Robot Based on Multi-Objective Genetic Algorithm with Elitist Strategy” (2022, 26 citations), introduces a pioneering approach that optimizes power consumption, speed, and fall risk simultaneously, significantly advancing adaptive robotic navigation. Building on this, their 2024 study, “An improved fuzzy‐controlled local path planning algorithm based on dynamic window approach” (11 citations), enhances real-time obstacle avoidance by integrating fuzzy logic with the dynamic window approach, improving safety and efficiency in unpredictable settings. Liu’s contributions are foundational for next-generation autonomous robots, from search-and-rescue to industrial automation, and their work continues to shape the future of intelligent, versatile robotic systems.
Research Focus
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Top Papers
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