Zecheng Zheng
Papers
2
Total Citations
27
H-Index
2
About
Zecheng Zheng is a rising researcher in the field of robotics and automation, with a primary focus on the design, control, and optimization of construction robots. His work addresses critical challenges in automating building processes, particularly for wall-building robots operating in complex and uncertain environments. Zheng’s most notable contribution is the development of a trajectory optimization framework for wall-building robots, combining response surface methodology with the non-dominated sorting genetic algorithm III (NSGA-III). This work, published in 2023 and already garnering 22 citations, provides a multi-objective approach to balancing efficiency, stability, and material usage in robotic construction. Building on this, his 2024 study on trajectory tracking control tackles the difficult problem of maintaining precision in viscoelastic and unpredictable environments, offering robust control strategies that account for material deformation and dynamic uncertainties. Though early in his career, Zheng’s research is gaining traction for its practical relevance to the construction industry, where automation can significantly reduce labor costs and improve safety. His work bridges theoretical optimization with real-world application, positioning him as a promising contributor to the future of autonomous construction systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2