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Robot capabilities, including manipulation, navigation, decision-making, and human-robot collaboration, are all advancing to meet the demands of next-generation advanced manufacturing environments. To assist and encourage these advances, many efforts have
On October 26, 2020, the Industrial Activities Board (IAB) of the IEEE Robotics and Automation Society (RAS) organized a virtual Terminology Harmonization Meeting in conjunction with the Intelligent Robots and Systems (IROS) Conference. The goal of the
Advances in automation have provided for sustained productivity increases and manufacturing growth over the past decade. Sustaining this growth will require automation to become more agile and flexible, enabling the automation of tasks that require a high
Satyandra K. Gupta, Venkat Krovi, Craig I. Schlenoff
Manufacturing is the staged transformation of raw materials into finished goods (using human-labor, machines, tools, mechanical, chemical or biological processing) on a large scale. The production-line represents a key innovation of the industrial
Jeremy Marvel, Roger D. Eastman, Geraldine S. Cheok, Kamel S. Saidi, Tsai H. Hong, Elena R. Messina, Bob Bollinger, Paul Evans, Joyce Guthrie, Eric Hershberger, Carlos Martinez, Karen McNamara, James Wells
The special session on Technology Readiness Levels (TRLs) for Randomized Bin Picking was held during the morning session of the 2012 Performance Metrics for Intelligent Systems (PerMIS) workshop, 21 March, 2012. The stated objective of the special session
Shelly Bagchi, Jeremy Marvel, Megan L. Zimmerman, Murat Aksu, Brian Antonishek
This report details the second annual, full-day workshop exploring the metrology necessary for repeatably and independently assessing the performance of robotic systems in real-world human-robot interaction (HRI) scenarios. This workshop continues the
Shelly Bagchi, Murat Aksu, Megan L. Zimmerman, Jeremy Marvel, Brian Antonishek
Verified and validated test methods, being necessary to measure the performance of complex systems, are important tools for driving innovation, benchmarking and improving performance, and establishing trust in collaborative human-robot teams. This full-day
Angelo Ferrando, Zeid Kootbally, Pavlo Piliptchak, Rafael Cardoso, Craig I. Schlenoff, Michael Fisher
ARIAC (Agile Robotics for Industrial Automation Competition) is a robotic competition which aims to advance robotic agility in industry. Participants in this competition are required to implement a robot control system to overcome agility challenges in a
Computation Tree Measurement Language (CTML) is a newly developed formal language that offers simultaneous model verification and performance evaluation measures. While the theory behind CTML has been established, the language has yet to be tested on a
Kang B. Lee, Rick Candell, Hans-Peter Bernhard, Dave Cavalcanti, Zhibo Pang, Inaki Val
Wireless has emerged as an enabling technology to improve operational flexibility and efficiency for factory automation. The latest wireless technology, standardization activities, and research issues were explored and discussed through the examination of
This has been a very eventful quarter for standardization efforts within the IEEE Robotics and Automation Society (RAS). Even the virtual nature of the 2020 International Conference on Robotics and Automation (ICRA) could not slow down the momentum of the
Roger V. Bostelman, YaShian Li-Baboud, Soocheol Yoon, Mili Shah, Omar Y. Aboul-Enein
Advanced mobile manipulators offer the manufacturing industry the potential of a highly flexible system to perform precision assembly tasks where the environment and the system are subject to uncertainties. Developing precision performance measurement
Roger V. Bostelman, YaShian Li-Baboud, Karl Van Wyk, Mili Shah
Exoskeletons are now being marketed by several manufacturers and yet there are currently no defined methods to measure the exoskeleton fit to the user. Proper exoskeleton fit to user impacts the safety of the human robot interaction. In this paper, we
Manufacturers currently struggle with the assessment of a machine/robots' accuracy degradation that limits the efficiency of machine/robots in high precision applications. Current best practice in industry is to inspect the final products or add
The IEEE Robotics and Automation Society's (RAS) standards study and working groups are strong and growing stronger. As of the time of this publication, we have two published standards, six working groups actively developing future standards, and one study
Jeremy A. Marvel, Shelly Bagchi, Megan L. Zimmerman, Brian Antonishek
We present a comprehensive framework for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing applications. An overview of the challenges that face current- and next-generation collaborative
Joseph A. Falco, Daniel Hemphill, Kenneth E. Kimble, Elena R. Messina, Adam Norton, Rafael F. Ropelato, Holly A. Yanco
This paper describes a set of metrics and supporting benchmarking protocols for determining the performance characteristics of robot end-effectors. In the short-term, these tools are proving useful as a common ground for assessing and comparing end
Kenneth Kimble, Joseph Falco, Elena R. Messina, Karl Van Wyk , Yu Sun, Mizuho Shibata, Wataru Uemura, Yasuyoshi Yokokohji
This paper presents a set of performance metrics, test methods, and associated artifacts to help progress the development and deployment of robotic assembly systems. The designs for three task board artifacts that replicate small part insertions and
Marek Franaszek, Geraldine S. Cheok, Jeremy A. Marvel
Accurate pose determination of an industrial robot end-effector is critical in many applications. The pose is usually derived from a forward kinematic model of the robot's arm and is dependent on how well the model parameters are determined. Localization
For decades, many manufacturers have counted on robots to tirelessly produce parts of predictable quality. One of the key attributes of robots is their repeatability, which means that their tool tip will return to the same pre-programmed location with a
The advancement of simulation-assisted robot programming, automation of high-tolerance assembly operations, and improvement of real-world performance engender a need for positionally accurate robots. Despite tight machining tolerances, good mechanical
Automatic through Autonomous - Unmanned Ground Vehicles (A-UGVs), as termed by ASTM F45 for driverless industrial vehicles, have much potential for use in manufacturing operations thanks to these vehicle's versatility and flexibility. To utilize A-UGVs
Marek Franaszek, Geraldine S. Cheok, Jeremy A. Marvel
In many manufacturing applications, such as automated drilling or inspection of large parts, accurate knowledge of both position and orientation is critical. In this paper, a method for reducing robot end-effector position and orientation error is
Roger V. Bostelman, Ya-Shian Li-Baboud, Ann Virts, Soocheol Yoon, Mili Shah
Exoskeletons are now being marketed by several manufacturers and yet there are currently no standard test methods to compare exoskeletons to task. The National Institute of Standards and Technology (NIST) has been a key contributor to the formation of a