Abb Inc.

Abb Research Ltd.

Jianmin He

Jianjun Wang

Chao Li

George Q Zhang

George Zhang

Carlos Martinez

Arnold Bell

Hui Zhang

A method and system to optimize the parameters of a robot used in an assembly process. The assembly process is categorized based on its nature which may be cylindrical, radial and multi-stage insertion. The search pattern and search parameters are specified. The parameters are optimized and the optimized parameter set are verified and when a predetermined criteria such as assembly cycle time set and/or success rate is met the optimization process stops. When the optimization stops the verified parameters are used to cause the robot to perform the categorized assembly process. If the parameters do not meet the predetermined criteria, another round of optimization using the same or other parameters can be performed.

Method and system for robotic assembly parameter optimization

A robot is used to repeatedly assemble parts during a continuous production run of parts to be assembled. There are parameters of the robot associated with the assembly. These parameters are used to assemble the parts. Simultaneously with that repeated assembly the robot parameters are optimized. The parts to be assembled have a starting position for the assembly and the simultaneous optimization of the robot assembly parameters also includes the learning of the starting position. The robot assembly parameters can be optimized in a predefined manner. The optimized parameters can then be verified and the optimized and verified robot assembly parameters may then be used in place of the parameters of the robot associated with the parts assembly along with the learned starting position.

Method and system for in-production optimization of the parameters of a robot used for assembly

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Bellevue, WA, United States of America

Jianmin He