H W

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

H W’s research centers on mining robotics and intelligent separation technologies, with a particular focus on coal gangue picking robots for green mining applications. Their major contribution lies in developing a novel cable-driven robotic system that uses machine vision to autonomously identify and separate coal from gangue—a critical process for reducing environmental waste in mining operations. In their most cited work, “On the Equivalent Position Workspace for a Coal Gangue Picking Robot” (2019), H W analyzed the kinematic workspace of a four-cable-driven grab mechanism, establishing foundational principles for robot positioning accuracy in complex mining environments. While this paper has garnered 2 citations, it represents an early-stage innovation in a niche field with growing practical significance. H W’s work bridges robotics, computer vision, and sustainable mining practices, offering a pathway toward automated, eco-friendly mineral processing. Their research is particularly notable for addressing real-world industrial challenges, positioning them as a contributor to the emerging field of intelligent mining equipment.