Husen Wang

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Husen Wang is a researcher focused on advancing autonomous navigation and path planning for mobile robots, with a particular emphasis on integrating classical algorithms to overcome real-world limitations. His most cited work, “Improve the Robot Path Planning Based on the Integration of A* and DWA” (2022), addresses critical challenges in robotic motion—namely, poor search efficiency, unsmooth trajectories, and the need for real-time obstacle avoidance. Wang proposes a hybrid approach that combines an improved bidirectional A* algorithm with the Dynamic Window Approach (DWA), enhancing both global path optimality and local reactive control. This contribution is especially valuable for applications in dynamic environments where robots must balance efficiency with safety. While his citation count is still growing, Wang’s work demonstrates a strong grasp of practical robotics challenges and algorithmic refinement. His research sits at the intersection of artificial intelligence, control systems, and mobile robotics, offering a scalable solution for autonomous systems. For students and researchers exploring robot navigation, Wang’s integration strategy provides a clear example of how to leverage the strengths of both global and local planning methods.