DocumentCode :
2912585
Title :
Identification of assembly process states using polyhedral convex cones
Author :
Mosemann, H. ; Raue, A. ; Wahl, F.
Author_Institution :
Inst. for Robotics & Process Control, Tech. Univ. Braunschweig, Germany
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
2756
Abstract :
The execution of automatically generated assembly plans by robots is one of the key technologies of modern and flexible manufacturing. During the execution of assembly sequences the robot comes into contact with the environment. Since there are positional and geometrical uncertainties from object representation, robot motion, and sensor information, compliance is used typically to prevent excessive contact forces. The contact forces and the resulting torques provide information about the contact geometry which is used to guide the assembly operation. We present a fast algorithm to identify assembly process states considering static friction under uniform gravity. This identification of assembly process states enables a robot to select and modify its motion strategies adequately according to the state. We give a symbolic representation of contact states and analyze the static properties of assemblies at each contact state by using the theory of polyhedral convex cones
Keywords :
CAD/CAM; assembly planning; force sensors; geometry; industrial robots; state estimation; stiction; assembly process states; assembly sequences; automatically generated assembly plans; contact forces; geometrical uncertainties; object representation; polyhedral convex cones; positional uncertainties; robot motion; sensor information; static friction; uniform gravity; Computational geometry; Flexible manufacturing systems; Friction; Information geometry; Manufacturing automation; Robot motion; Robot sensing systems; Robotic assembly; Robotics and automation; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
ISSN :
1050-4729
Print_ISBN :
0-7803-5180-0
Type :
conf
DOI :
10.1109/ROBOT.1999.774014
Filename :
774014
Link To Document :
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