Diagnostic intelligence mechanisms for multisensory robotic systems

Author

Seetharaman, G. ; Valavanis, K.P.

Author_Institution

Center for Adv. Comput. Studies, Southwestern Louisiana Univ., Lafayette, LA, USA

fYear

1991

fDate

11-13 Dec 1991

Firstpage

1889

Abstract

The authors address two important problems related to soft failure detection identification, and recovery in multisensory robotic systems: the problem of accidental robot payload variations (load dropping) and the problem of recovery of 3-D dynamic information related to object recognition. A control/diagnostics scheme based on the four-parameter control configuration is designed to accommodate payload variations and hybrid range/intensity sensor is proposed for 3-D dynamic information recovery

Keywords

computer vision; intelligent control; robots; 3-D dynamic information recovery; accidental robot payload variations; computer vision; control/diagnostics scheme; diagnostic intelligence; failure identification; failure recovery; four-parameter control configuration; hybrid range/intensity sensor; intelligent control; load dropping; multisensory robotic systems; object recognition; soft failure detection; Cameras; Control systems; Feedback; Intelligent robots; Layout; Object detection; Object recognition; Payloads; Robot kinematics; Robot sensing systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1991., Proceedings of the 30th IEEE Conference on

Conference_Location

Brighton

Print_ISBN

0-7803-0450-0

Type

conf

DOI

10.1109/CDC.1991.261742

Filename

261742