DocumentCode
338935
Title
Planning of regrasp operations
Author
Stoeter, Sascha A. ; Voss, Stephan ; Papanikolopoulos, Nikolaos P. ; Mosemann, Heiko
Author_Institution
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
1
fYear
1999
fDate
1999
Firstpage
245
Abstract
Robotic manipulators in contemporary work-cells are often incapable of solving even simple pick-and-place operations. More specifically, most systems require each object to be supplied in the same and pre-defined way. Introducing regrasping to the production cycle relaxes the constraints imposed on supply mechanisms. Regrasping describes the operation that must be performed whenever an object´s pick-up grasp is incompatible with its put-down grasp. The paper presents a novel approach to solve the regrasp problem for robots equipped with parallel-jaw end-effecters. The proposed method first evaluates the object´s possible grasps and placements. These are subsequently combined to form grasp-placement-grasp triples. A regrasp sequence leading from the pick-up to the put-down grasp is generated by searching through the resulting space of compatible grasp-placement-grasp triples. The algorithm takes kinematic and geometric constraints of both the manipulator and the objects into account. Computational concerns are addressed by subdividing the calculation into an off-line and a fast online phase
Keywords
manipulator kinematics; path planning; position control; contemporary work-cells; geometric constraints; grasp-placement-grasp triples; kinematic constraints; parallel-jaw end-effecters; pick-and-place operations; pick-up grasp; production cycle; put-down grasp; regrasp operations; supply mechanisms; Artificial intelligence; Belts; Computer science; Intelligent robots; Laboratories; Manipulators; Path planning; Process control; Production; Robot vision systems;
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.1999.769979
Filename
769979
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