Heterogeneous multisensory integration in robotics: a data representation approach

Miguel Angel Garcia; Luis Basanez

doi:10.1117/12.220953

15 September 1995 Heterogeneous multisensory integration in robotics: a data representation approach

Miguel Angel Garcia, Luis Basanez

Proceedings Volume 2589, Sensor Fusion and Networked Robotics VIII; (1995) https://doi.org/10.1117/12.220953
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

A model suitable for the integration of heterogeneous multisensory information in robots is proposed. This model is supported by a structured world representation which describes the contents of the physical workspace at multiple levels of abstraction through a hierarchy of oriented bounding boxes (OBBs). This hierarchical representation is implemented by means of a frame-based system. The latter provides a high degree of flexibility and facilitates the incorporation of the world representation into a larger knowledge-based robotic system. The proposed representation supports the integration of global and local heterogeneous information. Global information encompasses geometric, parametric and procedural information valid or applicable to the contents of each OBB as a whole. Local information provides a detailed description of the shape of 3D surfaces associated with individual OBBs, and scalar data associated with specific points lying on those surfaces. That information is supported by triangular meshes of control points. The proposed model allows the estimation of both the original surfaces and scalar functions defined over those surfaces through a heterogeneous fusion technique that allows for uncertainty.

Citation Download Citation

Miguel Angel Garcia and Luis Basanez "Heterogeneous multisensory integration in robotics: a data representation approach", Proc. SPIE 2589, Sensor Fusion and Networked Robotics VIII, (15 September 1995); https://doi.org/10.1117/12.220953

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KEYWORDS

Information fusion

Sensors

Databases

Nanoimprint lithography

3D modeling

Robotics

Data fusion

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