Gao Qi

Papers

Total Citations

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About

Gao Qi is a robotics researcher whose work focuses on advancing autonomous navigation for nonholonomic mobile robots. His key contributions lie in path planning, particularly in developing algorithms that balance safety, smoothness, and efficiency. His most cited paper, "A Hybrid A* Path Planning Algorithm Based on Multi-Objective Constraints" (2022, 15 citations), addresses critical limitations of the traditional Hybrid A* approach, including dangerous proximity to obstacles, unnecessary reversing, and redundant turning. By introducing multi-objective constraints, Gao Qi’s algorithm generates globally optimized paths that are safer and more practical for real-world deployment. This work has garnered attention for its potential to improve autonomous systems in logistics, warehouse automation, and service robotics. Gao Qi’s research demonstrates a commitment to bridging theoretical planning methods with real-world constraints, making him a notable contributor to the field of mobile robot navigation. His achievements highlight the importance of multi-objective optimization in creating robust, efficient autonomous systems.