Papers
3
Total Citations
13
H-Index
2
About
Ren Shunan’s research sits at the intersection of robotics, manufacturing precision, and electrical utility safety, with a focus on large-scale automation and live-line maintenance. His most cited work, “Calibration and compensation to large-scale multi-robot motion platform using laser tracker” (2015, 7 citations), addresses a critical challenge in manufacturing super-large products: establishing accurate coordinate relationships between global and local systems during installation and adjustment. This contribution has practical significance for industries relying on coordinated multi-robot platforms. Shunan further advances the field of power distribution with his 2021 paper on a “terminal live installation tool for robot in distribution work” (4 citations), which proposes novel structures and sensor combinations to reduce safety accidents during live-line operations. Complementing this, his work on “Target Recognition of Live Working Robots for Distribution Networks using LIDAR Point Cloud” (2 citations) introduces a preprocessing and recognition pipeline for electrical equipment, enabling robots to safely and accurately interact with energized components. Through these contributions, Shunan demonstrates a clear trajectory from foundational calibration methods to applied robotic tools for hazardous environments, making his research valuable for engineers developing safer, more reliable automation systems in manufacturing and power distribution.
Research Focus
Key Achievements
Top Papers
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