Intelligent Conceptual Design of Robot Grippers for Assembly Tasks
D.T. Pham, N.S. Gourashi and E.E. Eldukhri
Manufacturing Engineering Centre, Cardiff University, Cardiff, UK
Introduction
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The paper presents a system that automatically configure optimum gripper systems for robotic assembly tasks
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It gives an overview of conceptual design and configuration problems
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It describles the system and its design procedure
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It gives an example application of the system to a simple end-effector design problem
Design Process
The design process consists of three main phases:
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Problem formulation
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Conceptual Design
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Detailed Design
This paper focuses on the conceptual design process.
Conceptual Design
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Conceptual design is very complex and requires a very high-level of mental activity
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It is a decision making process where complete and precise information about the problem are not available
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It is a phase where engineering science, practical knowledge, production methods and commercial aspects need to be brought together
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It takes the goal and specifications of the design problem along with other constraints as inputs and gives in return a scheme or a concept as output
In this work, a case-based reasoning technique is used to reconfigure predifined robot gripper components into a final solution that satisfies the design problem.
Intelligent Gripper design System
The five design steps are:
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Importing CAD models into the intelligent design software
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Recognising geometric structures of the imported models
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Determining the orientations and all relevant dimensions of the compoments to be assembled
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Grouping of similar components into families
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Generating the single gripper capable of handling all components
Checkers on the Reference Box
Example Application
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The example illustrates the application of the design system to a simple gripper configuration problem
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The configuration problem is fully automated
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The user is only required to specify the components that need to be specified
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Four components of the same geometric class, material type, size family and range of weights are specified
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The system then proposes the optimum set of grippers for the given component
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Finally, the system generates a single gripper capable of handling all the specified components
Conclusion and Further Work
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An approached for automated optimum design of gripping systems was described
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A five-step design procedure for fully automated conceptual design was explained
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An example application of the design system to a simple robot gripper was given
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The obtained gripper system is capable of handling more complex tasks
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Future work could focus on designing grippers using surface models of the components to be gripped