Hao Meng

Papers

Total Citations

H-Index

About

Hao Meng’s research centers on autonomous robotic systems, with a particular focus on motion planning and control for specialized industrial applications. His most cited work, "Constraint Path Planning for an Autonomous Wall Spray Coating Robot" (2019, 6 citations), addresses the challenge of enabling a manipulator to autonomously cover an entire interior wall surface with a spray-head. Meng’s key contribution lies in developing a Cartesian constraint path generated through breadth-first search (BFS) combined with boustrophedon decomposition—an approach that ensures efficient, systematic coverage while respecting the robot’s kinematic constraints. This work demonstrates his ability to bridge theoretical path planning algorithms with real-world manufacturing needs, offering a practical solution for automating labor-intensive coating tasks. While his citation count is modest, the research holds notable significance for the construction and robotics industries, where precision and autonomy are increasingly valued. Meng’s achievements highlight his expertise in constraint-based planning and his commitment to advancing robotic autonomy in complex, constrained environments—a foundation that promises further impact as automation in construction and industrial painting continues to evolve.