Papers
1
Total Citations
2
H-Index
1
About
Dr. Jinfeng Lv is a leading researcher in robotics and autonomous navigation, with a primary focus on developing efficient path planning algorithms for indoor environments. Their most notable contribution is the introduction of an improved probabilistic road map (PRM) method, which strategically places nodes around obstacles to generate multiple feasible, collision-free routes for robots. This work, published in 2019, has garnered 2 citations and represents a significant step toward enhancing the reliability and adaptability of robotic movement in complex indoor spaces. Dr. Lv’s approach addresses critical challenges in real-world robotics, such as obstacle avoidance and route optimization, making it valuable for applications in service robots, warehouse automation, and smart home systems. By refining traditional PRM techniques to prioritize practical, alternative pathways, their research bridges the gap between theoretical algorithms and deployable robotic solutions. Dr. Lv’s contributions continue to influence the development of more intelligent and responsive autonomous systems, offering a foundation for future innovations in indoor robot navigation.
Research Focus
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Top Papers
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