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Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems.

Kenneth Kimble¹, Karl Van Wyk², Joe Falco¹

¹National Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899 USA.

IEEE Robotics and Automation Letters

|October 8, 2020

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This summary is machine-generated.

This study introduces standardized performance metrics and test methods for robotic assembly systems. These advancements aim to accelerate the development and deployment of robots in manufacturing and assembly tasks.

Area of Science:

Robotics
Manufacturing Engineering
Systems Engineering

Background:

The development of robotic assembly systems requires standardized evaluation methods.
Current methods for assessing robotic assembly performance are inconsistent, hindering progress.
Task-specific artifacts are needed to reliably test robotic assembly capabilities.

Purpose of the Study:

To present a comprehensive set of performance metrics and test methods for robotic assembly systems.
To introduce novel task board artifacts designed to simulate common assembly operations.
To establish benchmarking protocols for evaluating robotic assembly and disassembly.

Main Methods:

Design and fabrication of three task board artifacts simulating small part insertion and fastening.

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Development of performance metrics and benchmarking protocols utilizing the task boards.

Discussion of robot competitions as a practical application and validation use case.

Main Results:

The paper details the design of three task boards for testing operations like threading, snap fitting, and meshing.
Benchmarking protocols and performance metrics are provided to evaluate robotic assembly.
The utility of these task boards in robot competitions is explored.

Conclusions:

The presented metrics, methods, and artifacts provide a foundation for advancing robotic assembly systems.
Standardized testing will facilitate more reliable development and deployment of assembly robots.
These resources can be leveraged in educational and competitive robotics environments.