Motivation

The rapid development of AI over the past decade has opened the door for many new research opportunities and technologies within the robotics field. As a result of these new technologies, manufacturing robotics is beginning to undergo a transformation. Industrial robots are no longer limited to performing simple, repetitive tasks with high precision. Rather, data-driven algorithms are enabling robots to learn more complex behaviors and use sensor data to adapt to changing conditions within their work environments.

Although these new capabilities are promising, developing and integrating them into real-world manufacturing settings is still a challenge. For researchers, there are limits on the time and hardware that’s available for collecting data and testing algorithms. For practitioners, there are tolerance, productivity, and reliability requirements to meet, which make implementing new technologies a risky proposition.

To help address these challenges and streamline the work of researchers and industry, NIST has created this hub for connecting researchers, practitioners, and enthusiasts of AI for Manufacturing Robotics. On it you will find a curated list of datasets, publications and software that gives an overview of ongoing developments in the field. In addition, you will find up-to-date information on relevant conferences, workshops, and funding opportunities. We hope that you find this resource helpful in your work; we are also actively seeking contributions for improving this webpage on our community page.