C Z Zhang

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

C Z Zhang is a leading researcher in intelligent mining robotics, with a focus on autonomous drilling and navigation systems for hazardous underground environments. Their work addresses critical challenges in coal mine safety and efficiency through advanced robotic control and path planning. Zhang’s 2024 study on high-precision drilling by an anchor-drilling robot, which employs hybrid visual servo control, has garnered 4 citations for its novel approach to stabilizing rock in coal-mine roadways—a key contribution to enhancing structural integrity and worker safety. In 2025, Zhang advanced the field with a safe path planning method for robotic roadheaders in narrow tunnels, earning 3 citations by solving collision prediction problems that traditional methods fail to address. This work is pivotal for autonomous operations in confined, low-visibility spaces. Zhang’s research integrates computer vision, control theory, and robotics, directly impacting real-world mining practices. With a growing citation record and publications in top venues, Zhang is recognized for pushing the boundaries of mining automation, making underground operations safer and more efficient. Their contributions are essential reading for students and researchers in robotics, mining engineering, and autonomous systems.