LeiLanD (Leiden Language Data) is a searchable catalogue initiated by the Leiden University Centre for Linguistics (LUCL) with the support of CLARIAH. The catalogue contains metadata about language datasets collected at LUCL and other institutes of Leiden University. This paper describes a project to FAIRify the datasets increasing their findability and accessibility through a standardised metadata format CMDI so as to obtain a rich metadata description for all resources and to make them findable through CLARIN’s Virtual Language Observatory. The paper describes the creation of the catalogue and the steps that led from unstructured metadata to CMDI standards. This FAIRifi- cation of LeiLanD has enhanced the findability and accessibility of incredibly diverse collection of language datasets.

The detection of the onset of motion and slip between an end effector and workpiece has been of interest for some time and many schemes have been proposed. This paper reviews some of the background on slip detection methods and proposes use of acoustic emission signal analysis a slip detection technique. The genesis acoustic emission during slip is discussed and experimental evidence presented to the sensitivity of acoustic emission to slip between two surfaces. Preliminary tests with a robot gripper have also done to demonstrate the feasibility of acoustic emission slip detector.