Discrete event modeling of visually guided behaviors

When visual behaviors are combined to provide a specific functionality needed for a task, the combination is often based on heuristic rules. In this article we show that by adopting the Discrete-Event Systems (DES) formalism for describing the interaction between visual behaviors it is possible to provide systems that have well-defined properties in terms of observability and controllability. The method is in particular suited for describing the coupling between action and perception. An introduction to the use of DES is provided and it is demonstrated how DES are used for modeling behaviors and controlling a mobile robot equipped with a binocular camera head and some additional sensors.

[1]  Volker Graefe,et al.  Applications of dynamic monocular machine vision , 1988, Machine Vision and Applications.

[2]  James L. Crowley,et al.  Vision as Process , 1995 .

[3]  David G. Lowe,et al.  Perceptual organization and visual recognition /David G.lowe , 1987 .

[4]  P. Ramadge,et al.  Supervisory control of a class of discrete event processes , 1987 .

[5]  Henrik I. Christensen,et al.  AUC robot camera head , 1992, Defense, Security, and Sensing.

[6]  Yiannis Aloimonos,et al.  Purposive and qualitative active vision , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[7]  W. M. Wonham,et al.  The control of discrete event systems , 1989 .

[8]  David M. Blei,et al.  Panel Discussion , 2006, SNA@ICML.

[9]  Dana H. Ballard,et al.  Animate Vision , 1991, Artif. Intell..

[10]  Ruzena Bajcsy,et al.  Cooperation of visually guided behaviors , 1993, 1993 (4th) International Conference on Computer Vision.

[11]  Henrik I. Christensen,et al.  A Low-Cost Robot Camera Head , 1993, Int. J. Pattern Recognit. Artif. Intell..

[12]  Roderic A. Grupen,et al.  The applications of harmonic functions to robotics , 1993, J. Field Robotics.

[13]  James J. Clark,et al.  Modal Control Of An Attentive Vision System , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[14]  Giulio Sandini,et al.  Dynamic aspects in active vision , 1992, CVGIP Image Underst..

[15]  P. Ramadge,et al.  On the supermal controllable sublanguage of a given language , 1987 .

[16]  Mark A. Shayman,et al.  Supervisory Control of Nondeterministic Systems with Driven Events via Prioritized Synchronization and Trajectory Models , 1995 .

[17]  Ronald C. Arkin,et al.  Motor Schema — Based Mobile Robot Navigation , 1989, Int. J. Robotics Res..

[18]  John K. Tsotsos.  Behaviorist Intelligence and the Scaling Problem , 1995, Artif. Intell..

[19]  J. Little,et al.  Inverse perspective mapping simplifies optical flow computation and obstacle detection , 2004, Biological Cybernetics.

[20]  Volker Graefe,et al.  Dynamic monocular machine vision , 1988, Machine Vision and Applications.

[21]  D. A. Robinson,et al.  Why visuomotor systems don't like negative feedback and how they avoid it , 1990 .

[22]  Ian Horswill.  A simple, cheap, and robust visual navigation system , 1993 .

[23]  S. Balemi,et al.  Supervisory control of a rapid thermal multiprocessor , 1993, IEEE Trans. Autom. Control..

[24]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .