Xianliang Zhao

Zhejiang University of Science and Technology

Papers

Total Citations

H-Index

About

Xianliang Zhao is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, path planning, and robotic manipulation. His most recognized contributions lie in the development of hybrid algorithmic frameworks that combine classical and adaptive methods to solve complex real-world robotics challenges. Zhao's most-cited work, "Research on a Random Route-Planning Method Based on the Fusion of the A* Algorithm and Dynamic Window Method" (2022, 23 citations), introduced an innovative rasterized environment approach that integrates global and local path planning, enabling mobile robots to navigate optimally while avoiding obstacles in dynamic settings. A companion study published the same year further refined this hybrid A*-Dynamic Window methodology to meet real-time barrier avoidance demands in automated robot systems. More recently, Zhao expanded his research into robotic manipulation, presenting a humanoid underactuated manipulator paired with an adaptive grasping algorithm capable of handling varied fruit types without task-specific reprogramming — addressing a longstanding generalizability gap in agricultural robotics. Collectively, his publications reflect a consistent commitment to bridging theoretical algorithmic innovation with practical robotic applications, making his work particularly valuable for researchers and engineers advancing intelligent, autonomous robotic systems.