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Objective To develop and deploy measurement science that advances manufacturing robotic system performance, collaboration, agility, autonomy, safety, and ease of implementation to enhance U.S. innovation and industrial competitiveness. Technical Idea The fundamental idea is to provide the
Objective To facilitate the adoption of AI-based robotic approaches in practical manufacturing scenarios by creating test methods that target AI-enabled robotic systems, evaluating the performance of AI-enabled robotic systems, and creating manufacturing-relevant and AI-centric datasets. Technical
Objective To identify opportunities for and barriers to greater adoption of robotics by small manufacturers, and to establish the metrology bases needed for assessing, accepting, and advancing novel technologies that meet the current and emerging needs of small- and medium-sized manufacturers
Objective To deliver a suite of datasets, benchmarking tools, test methods, protocols, metrics, standards, and information models to enable effective, human-robot collaboration in manufacturing, and advance interactive robot technologies to facilitate the safe and efficient teaming of people and
Collaborative robot tasks in manufacturing often involve manually placing and recording the robot in various positions throughout the intended task. However
Shelly Bagchi, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernandez Garcia, Zhao Han, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella, Paul Pridham
In this paper, we present a proposed format for reporting human studies in Human-Robot Interaction (HRI). We specifically call out details which are often
Human-robot collaborative systems are being increasingly adopted in manufacturing environments due to their application flexibility, adaptability, and cost
Human-robot load-sharing is a potential application for human-robot collaborative systems in production environments. However, knowledge of the appropriate data