Despite a well-understood potential to increase productivity of the global construction industry and sustained, international research efforts in recent years, wide-scale adoption of robotic technology currently remains elusive in the industry. As part of a larger industrial research effort to increase the efficiency of automation technologies within construction, this paper proposes a novel multi-layered knowledge encapsulation model to enable low-cost development of highly diverse robotic control applications within a parametric manufacturing paradigm. The effectiveness of proposed theoretical framework has been validated by developing multiple industrial applications and resulted in almost 40% reduction in development time.

尽管在提高全球建筑业生产力方面存在被充分理解的潜力，并且近年来进行了持续的国际研究，但目前在该行业中仍难以大规模采用机器人技术。作为提高工业自动化技术效率的一项大型工业研究工作的一部分，本文提出了一种新颖的多层知识封装模型，以使在参数化制造范式下以低成本开发高度多样化的机器人控制应用成为可能。所提出的理论框架的有效性已经通过开发多种工业应用得到了验证，并导致开发时间减少了近40％。