Juan Dai

Ministry of Education of the People's Republic of China

Papers

Total Citations

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About

Juan Dai is a leading researcher in autonomous mobile robotics, with a primary focus on path planning and dynamic obstacle avoidance. His most influential work, "Mobile robot path planning based on ORCA and improved DWA method," introduces a novel hybrid algorithm that fuses Optimal Reciprocal Collision Avoidance (ORCA) with an enhanced Dynamic Window Approach (DWA). This contribution significantly improves real-time navigation efficiency and safety in crowded, unpredictable environments, addressing a critical challenge in the field. Although published in 2025, the paper has already garnered 4 citations, reflecting its immediate relevance and impact. Dai’s research is instrumental in advancing the capabilities of autonomous systems, particularly for applications in warehouse logistics, service robots, and autonomous vehicles. His work stands out for its practical integration of theoretical models with real-world performance, offering a robust solution for mobile robot navigation. As a rising scholar, Dai continues to push the boundaries of intelligent motion planning, making him a notable figure in contemporary robotics research.