Lianglong Da

Papers

Total Citations

H-Index

About

Lianglong Da is a researcher specializing in mobile robotics and intelligent path planning, with a focus on developing efficient algorithms for autonomous navigation. His most-cited work, "Path Planning Method for Mobile Robot Based on a Hybrid Algorithm" (2023), has garnered 15 citations, highlighting its relevance in the field. Da’s contributions center on integrating multiple optimization techniques—such as combining heuristic and deterministic approaches—to enhance robot route efficiency, obstacle avoidance, and real-time decision-making in dynamic environments. This hybrid methodology addresses key challenges in robotics, including computational complexity and adaptability, offering practical solutions for applications in logistics, exploration, and service robots. While his citation count reflects a growing impact, Da’s work is notable for its methodological innovation, bridging gaps between traditional path planning and emerging AI-driven strategies. His research appeals to students and engineers seeking robust, scalable navigation systems, and his hybrid algorithm stands as a foundational step toward more intelligent autonomous systems. Da continues to advance the intersection of robotics and optimization, promising further contributions to autonomous mobility.