Yiping Meng
Papers
1
Total Citations
11
H-Index
1
About
Yiping Meng is a researcher at the forefront of robotic fabrication and computational design in architecture, with a particular focus on timber construction. Their work addresses the critical challenge of automating the cutting of complex timber joints, a task traditionally reliant on skilled manual labor. Meng’s most cited paper, “Optimal trajectory planning of complicated robotic timber joints based on particle swarm optimization and an adaptive genetic algorithm” (2021), introduces a novel methodology that synthesizes path distance and time optimization to dramatically improve the work efficiency of robotic chainsaws. By applying hybrid metaheuristic algorithms—particle swarm optimization and an adaptive genetic algorithm—Meng demonstrates how robots can precisely and rapidly execute intricate joinery, pushing the boundaries of digital fabrication in wood architecture. This contribution is pivotal for enabling scalable, non-standard timber construction. With 11 citations, this work has already informed subsequent studies in robotic path planning and construction automation. Meng’s research sits at the intersection of robotics, structural design, and material science, offering practical solutions for sustainable, high-precision building methods. Their work is essential reading for students and researchers interested in the future of automated construction and the integration of advanced algorithms into architectural production.
Research Focus
Key Achievements
Top Papers
- 1