Manufacturing Intelligence to Evolve Industrial Robot

Industrial intelligence - a business intelligence-based approach to enhance manufacturing engineering in industrial companies

Flexibility, resource efficiency, and time-to-market are key success factors for industrial enterprises. Essential settings are set during early phases of product development as well as manufacturing. In later product lifecycle phases, the responses from the market (e.g. complains or the amount of damage cases) show the maturity stage of the products. Quality methods like TQM or EFQM pursue the...

Using Genetic Programming to Evolve Robot Behaviours

This paper presents the application of genetic programming (GP) to the task of evolving robot behaviours. The domain used here is the well-known wall-following problem. A set of programs were evolved that can successfully perform wall-following behaviours. The experiments involving different wall shapes were designed and implemented to investigate whether the solutions offered by GP are scalabl...

An Innovative Human-Robot Cognitive Coupling in Industrial Robot Control and Manufacturing

this paper demonstrates the groundwork for the structure and nature of Human-Robot Cognitive Coupling.The human mind is best at associating objects, while digital devices can only compare. Successful communication between robot and human agents involves translating human thought into unique numbers that can be compared, and translating these numbers back into a form that humans can understand. ...

Industrial and Manufacturing Engineering

Cloud intelligence in manufacturing

Cloud manufacturing (CMfg) is a new-generation, centrally-managed, service-oriented networked manufacturing model that can provide manufacturing resources and services to users in different locations (Wu et al. 2013b; Archimede et al. 2014). Cloud computing enthusiasts have advocated CMfg as a direct extension of cloud computing in the manufacturing sector, but the full application of cloud com...