Pengmin Wu
Papers
3
Total Citations
41
H-Index
3
About
Pengmin Wu is a leading researcher in construction robotics, specializing in the trajectory optimization and control of wall-building robots operating in uncertain, viscoelastic contact environments. Their work addresses critical challenges in automating masonry tasks, including poor build quality, excessive energy consumption, and unsafe contact forces. Wu’s major contributions include pioneering the application of multiobjective optimization algorithms—such as NSGA-III and RBF-NSGA-II—to generate smooth, efficient, and force-minimizing trajectories for these robots. Their most cited paper (2023, 22 citations) demonstrates a novel approach combining response surface methodology with NSGA-III, while a second highly cited work (2023, 14 citations) extends this to segmented trajectory optimization under viscoelastic uncertainty. Wu’s research has achieved significant impact, with over 40 total citations in just two years, and their 2024 study on trajectory tracking control further advances real-time performance. By systematically addressing the interplay between energy efficiency, contact safety, and motion smoothness, Wu is shaping the future of autonomous construction, offering practical solutions for robust robotic masonry in real-world, unpredictable environments.
Research Focus
Key Achievements
Top Papers
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