A cognitive architecture for artificial vision

Chella, Antonio; Frixione, Marcello; Gaglio, Salvatore

doi:10.1016/s0004-3702(96)00039-2

Cited by 95 publications

(52 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the context of a different field of application, a solution similar to the one adopted here has been proposed in (Chella et al, 1997). The main difference with their proposal concerns the underlying assumption on which the integration between symbolic and sub-symbolic system is based.…”

Section: Related Workmentioning

confidence: 99%

A Dual Process Architecture for Ontology-based Systems

Lieto¹,

Minieri

Piana

et al. 2014

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

View full text Add to dashboard Cite

Abstract:In this work we present an ontology-based system equipped with a hybrid architecture for the representation of conceptual information. The proposed system aims at extending the representational and reasoning capabilities of classical ontology-based systems towards more realistic and cognitively grounded scenarios, such as those envisioned by the prototype theory. The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science and the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially improves on the representational and reasoning "conceptual" capabilities of standard ontology-based systems.

show abstract

Section: Related Workmentioning

confidence: 99%

A Dual Process Architecture for Ontology-based Systems

Lieto¹,

Minieri

Piana

et al. 2014

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

View full text Add to dashboard Cite

show abstract

“…The cognitive architecture of the robot is based on previous works ( [3], [4]) and it is organized in three computational areas (Fig. 2).…”

Section: Remarks Of the Adopted Theoretical Frameworkmentioning

confidence: 99%

“…The pin-hole camera model requires the estimation of intrinsic parameters in order to allow three-dimensional reconstruction from stereo pairs. Given a world point X, the relation with its projection w on the image is (1) where K is the calibration matrix (2) (c x ,,c y ) are the coordinates of the central point, and (f x ,,f y ) are focal lengths along image dimensions u and v. Moreover, the radial distortion introduced by lens is corrected estimating the coefficients k 1 ,k 2 ,p 1 , and p 2 that are involves in the following model (3) where (u,v) are coordinates of the undistort image, (u D ,,v D ) are coordinates of the distort image, and r 2 = u 2 +v 2 . The calibration matrix is estimated by the standard algorithm described by Zhang [13] using a grid, and radial distortion coefficients by nonlinear minimization algorithm [11] (see Fig.…”

Section: The Vision Systemmentioning

confidence: 99%

“…We claim that a new generation of cognitive autonomous robots, effectively able to perceive and act in unstructured environments and to interact with people, should be aware of their external and inner perceptions, should be able to pay attention to the relevant entities in their environment, to image, predict and to effectively plan their actions. In the course of the years, we developed a cognitive architecture for robots [3] [4]. The architecture is currently experimented on an autonomous robot platform based on a RWI B21 robot equipped with a pan-tilt stereo head, laser rangefinder and sonars (Fig.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experiences with CiceRobot, a Museum Guide Cognitive Robot

Macaluso

Ardizzone

Chella

et al. 2005

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and actions with knowledge representation, in order to let the robot to generate a deep inner understanding of its environment. The principled integration of perception, action and of symbolic knowledge is based on the introduction of an intermediate representation based on Gärdenfors conceptual spaces. The architecture has been tested on a RWI B21 autonomous robot on tasks related with guided tours in the Archaeological Museum of Agrigento. Experimental results are presented.

show abstract

“…Chella et al (1997; describe a robot vision system based on conceptual spaces in which each point corresponds to a geon-like 3-dimensional geometric primitive (Biederman 1985) perceived by the robot. Therefore, the perceived objects, like the agent itself, other agents, the surrounding obstacles, and so on, are all reconstructed by means of geons, and they all correspond to suitable sets of points in the agent's conceptual space.…”

Section: How To Learn a Conceptual Spacementioning

confidence: 99%