DocumentCode
1869821
Title
A probabilistic method to analyze ambiguous contact situations
Author
Spreng, Michael
Author_Institution
Inst. for Real-time Comput. Syst. & Robotics, Karlsruhe Univ., Germany
fYear
1993
fDate
2-6 May 1993
Firstpage
543
Abstract
An approach to analyzing ambiguous contact situations in an uncertain robotic environment is presented. When invoked by the occurrence of a contact, the analysis proceeds by generating a set of hypotheses on the contact, out of which the valid one is detected by testing the feasibility of certain motions, i.e., performing movability tests. Emphasis is placed on the generation of the hypotheses. All parts of the analysis are based upon the same probabilistic uncertainty model, which is given
Keywords
path planning; probability; robots; ambiguous contact situations; hypotheses generation; motion feasibility; movability tests; probabilistic method; uncertain robotic environment; uncertainty model; End effectors; Information analysis; Motion analysis; Motion detection; Performance evaluation; Real time systems; Robot motion; Tactile sensors; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
0-8186-3450-2
Type
conf
DOI
10.1109/ROBOT.1993.292228
Filename
292228
Link To Document