Adaptive robotic manufacturing using higher order knowledge systems
نویسندگان
چکیده
Despite a well-understood potential to increase productivity of the global construction industry and sustained, international research efforts in recent years, wide-scale adoption robotic technology currently remains elusive industry. As part larger industrial effort efficiency automation technologies within construction, this paper proposes novel multi-layered knowledge encapsulation model enable low-cost development highly diverse control applications parametric manufacturing paradigm. The effectiveness proposed theoretical framework has been validated by developing multiple resulted almost 40% reduction time.
منابع مشابه
Towards Adaptive Manufacturing Systems - Knowledge and Knowledge Management Systems
Today the changes in the environment, be those business related or manufacturing, are both frequent and rapid. Industry has talked about the adaptation to meet the changes over a decade. Adaptation as a word has gained quite a reputation. Adaptation is expected in design of products and processes and in the realization of processes. The adaptation in the field of manufacturing sector is commonl...
متن کاملAdaptive filtering using Higher Order Statistics (HOS)
The performed job, in this study, consists in studying adaptive filters and higher order statistics (HOS) to ameliorate their performances, by extension of linear case to non linear filters via Volterra series. This study is, principally, axed on: Choice of the adaptation step and convergence conditions. Convergence rate. Adaptive variation of the convergence factor, according to the inpu...
متن کاملTowards Optimization of Manufacturing Systems using Autonomous Robotic Observers
The optimization of existing manufacturing systems is a challenging and highly complex task, requiring highquality information about the current system. Currently, acquiring such information involves tedious and to a large extend manual work. In this paper we present an ongoing joint project effort bringing together cognitive robotics and planning and control of manufacturing systems to create ...
متن کاملAdaptive Higher-order Spectral Estimators
Many applications involve estimation of a signal matrix from a noisy data matrix. In such cases, it has been observed that estimators that shrink or truncate the singular values of the data matrix perform well when the signal matrix has approximately low rank. In this article, we generalize this approach to the estimation of a tensor of parameters from noisy tensor data. We develop new classes ...
متن کاملAdaptive Blind Equalization Using Second- and Higher Order Statistics
AbstructThis paper presents two classes of adaptive blind algorithms based on secondand higher order statistics. The first class contains fast recursive algorithms whose cost functions involve second and thirdor fourth-order cumulants. These algorithms are stochastic gradient-based but have structures similar to the fast transversal filters (FTF) algorithms. The second class is composed of two ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automation in Construction
سال: 2021
ISSN: ['1872-7891', '0926-5805']
DOI: https://doi.org/10.1016/j.autcon.2021.103702