Generalizing and Formalizing Precisiation Language to Facilitate Human-Robot Interaction

Nakama, Takéhiko; Muñoz, Enrique; LeBlanc, Kevin; Ruspini, Enrique H.

doi:10.1007/978-3-319-23392-5_21

Cited by 2 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The number and variety of scenarios in which monitoring and control systems based on CI are used is constantly growing, thanks to the continuous increasing of computational resources and size decreasing of computing architectures. Examples of applications in industrial scenarios are quality control [2], robot control [3], production monitoring [4], and detection of machinery faults [5], [6]. In environmental applications, CI techniques are mostly used to forecast [7], [8] and monitor [9] physical phenomena.…”

Section: Introductionmentioning

confidence: 99%

Computational intelligence for industrial and environmental applications

Labati

Genovese

Muñoz

et al. 2016

2016 IEEE 8th International Conference on Intelligent Systems (IS)

View full text Add to dashboard Cite

Computational Intelligence (CI) techniques are being increasingly used for automatic monitoring and control systems, especially regarding industrial and environmental applications, due to their performance, their capabilities in fusing noisy or incomplete data obtained from heterogeneous sensors, and the ability in adapting to variations in the operational conditions. Moreover, the increase in the computational power and the decrease of the size of the computing architectures allowed a more pervasive use of CI techniques in a great variety of situations. In this paper, we propose a brief review of the most important CI techniques applied in each step of the design of a monitoring and control system for industrial and environmental applications, and describe how these techniques are integrated in the development of efficient industrial and environmental applications.

show abstract