Minhua Liu

Beijing Technology and Business University

Papers

Total Citations

H-Index

About

Minhua Liu is a researcher in robotics and intelligent control systems, with a primary focus on motion planning and obstacle avoidance for robotic manipulators. Their most notable contribution is the development of an improved Informed-RRT* algorithm, introduced in their highly cited 2024 paper "Research on Motion Planning Method for Robotic Arm Under Obstacles." This work addresses critical challenges in robotic arm motion planning—including long search times, uneven path generation, and mechanical vibration during movement—by proposing a more efficient and smoother trajectory generation method. The algorithm enhances path quality and computational efficiency, making it particularly valuable for industrial automation and collaborative robotics applications. While early in their career, Liu's work has already garnered attention within the robotics community, with their flagship paper accumulating citations that underscore its relevance to ongoing research in autonomous manipulation. Their contributions represent a meaningful step toward more reliable and responsive robotic systems, positioning Liu as an emerging voice in the field of intelligent motion planning.