Papers
1
Total Citations
7
H-Index
1
About
Ying Ma is a researcher focused on intelligent robotics and automation in challenging industrial environments, particularly coal mining. Their most-cited work, "Expected position and attitude adjustment control method of coal mine roadway support robot" (2023, 7 citations), introduces a novel real-time position-attitude detection system and lateral adjustment mechanism for underground support robots. This contribution enhances the maneuverability and precision of coal mine roadway support robots (CMRSR), addressing critical safety and efficiency challenges in mining operations. By developing control methods that allow robots to dynamically adjust their position and attitude, Ma's research bridges the gap between theoretical robotics and practical deployment in hazardous, confined spaces. While still early in their career, Ma's work demonstrates a clear commitment to advancing automation in heavy industries, where improved robotic dexterity can reduce human risk and operational downtime. Their focus on real-time detection and adaptive control positions them as an emerging contributor to the field of mining robotics, with potential for broader applications in construction and disaster response.
Research Focus
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Top Papers
- 1