An experiment with reactive data-flow tasking in active robot vision - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Software: Practice and Experience Année : 1997

An experiment with reactive data-flow tasking in active robot vision

Résumé

We present an experiment of the synchronous approach to reactive systems programming, and particularly the SIGNAL language, ap- plied to a significant problem in robot vision: active visual recon- struction. This application consists of the specification of a system dealing with various domains such as robot control, computer vi- sion and transitions between different modes of control. It illustrates the adequacy in such domains of SIGNAL, a data flow programming language and environment. The SIGNAL programming environment features tools for formal specification, analysis, consistency check- ing and code generation. SIGNAL and its language-level extension for task preemption SIGNALGTι ̇ are used at the different levels of the application: data-flow function for the camera motion control (vi- sual servoing), reconstruction method (in parallel to visual servoing, involving the dynamical processes), and reconstruction of complex scenes (with transitions between several robotics tasks). The com- bination of these levels constitutes a hybrid behavior with (sampled) continuous and discrete transitions. These techniques are validated experimentally by an implementation on a robotic cell.
Fichier principal
Vignette du fichier
SPE.pdf (205.31 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00908095 , version 1 (22-11-2013)

Identifiants

Citer

Eric Rutten, Eric Marchand, François Chaumette. An experiment with reactive data-flow tasking in active robot vision. Software: Practice and Experience, 1997, 27 (5), pp.599-621. ⟨10.1002/(SICI)1097-024X(199705)27:5<599::AID-SPE102>3.0.CO;2-K⟩. ⟨hal-00908095⟩
326 Consultations
163 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More