Manman Jin

Papers

Total Citations

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About

Manman Jin is a researcher whose work focuses on the critical intersection of robotics and mining safety, with a particular emphasis on positioning and navigation technologies in challenging underground environments. Her most-cited paper, "Research on Mine Robot Positioning Based on Weighted Centroid Method" (2018), addresses a fundamental problem in mining automation: the unreliability of GPS signals in subterranean settings. Jin proposed using radio frequency (RF) equipment to collect position signals, which are then preprocessed using Gaussian methods and localized through a weighted centroid algorithm. This contribution is vital for enabling autonomous mine robots to navigate safely and accurately where satellite-based systems fail. While her citation count is modest, her work tackles a niche but high-impact challenge in industrial robotics, laying groundwork for safer, more efficient mining operations. Jin’s research exemplifies how targeted engineering solutions can overcome environmental constraints, making her a notable figure in the field of mine robotics and sensor-based positioning.