Cross-industry standard test method developments:from manufacturing to wearable robots

Roger BOSTELMAN; Elena MESSINA; Sebti FOUFOU

doi:10.1631/FITEE.1601316

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Cross-industry standard test method developments:from manufacturing to wearable robots

Regular Papers | Updated：2022-05-19

- Cross-industry standard test method developments:from manufacturing to wearable robots
- 跨行业标准测试方法进展：从制造机器人到可穿戴机器人
- Frontiers of Information Technology & Electronic Engineering Vol. 18, Issue 10, Pages: 1447-1457(2017)
- Affiliations：
  
  National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
  Le2i, Université de Bourgogne, Dijon 21078, France
  College of Engineering, Qatar University, Doha 2713, Qatar
- Author bio：
  
  [ "", "Roger BOSTELMAN is an advanced mobility engineer at the National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA. He was Engineering Project Manager for 25 of his 38 years at NIST, working on the Intelligent Control of Mobility Systems Program, and many NIST and military technology research and development projects. Roger has designed, built, and tested mechanical systems and their interface electronics on robot cranes, robot arms, and autonomous vehicles including the RoboCrane, HLPR (Home Lift, Position, and Rehabilitation) chair, and several other technologies. He is Chairman of the ASTM Committee F45 and serves as an expert on ANSI/ITSDF B56.5, ISO 13482, and ASTM E57 and ASTM AC220. He holds a B.S. in Electrical Engineering from the George Washington Univ., an M.S. degree in Tech. Management from the Univ. of Maryland Univ. College, and is seeking a PhD in Computer Science at the University of Bourgogne, France. He has over 100 publications in books, journals, and conference proceedings and holds 7 patents." ]
  [ "", "Elena MESSINA manages the Robotic Systems for Smart Manufacturing Program at the National Institute of Standards and Technology, where she also leads the Manipulation and Mobility Systems Group within the Intelligent Systems Division. She is internationally recognized for her work in the development of performance metrics and evaluation methodologies for robotic and autonomous systems. Ms. Messina founded key efforts to develop test methodologies for measuring the performance of robots, which range from long-term use of robotic competitions to drive innovation to consensus standards for evaluating robotic components and systems. For the Robotic Systems for Smart Manufacturing Program, Ms. Messina directs a portfolio of five projects focused on advancing the capabilities of collaborative robots in smart manufacturing through the definition of performance requirements, metrics, test methods, tools, and testbeds. Ms. Messina’s other roles at NIST have included supporting the NIST Director with Programmatic, Policy, and Budget Analysis, Acting Chief of the Intelligent Systems Division, and Leader of the Knowledge Systems Group. Prior to joining NIST, Ms. Messina worked in private industry on computer-aided design software and industrial robots." ]
  [ "", "Sebti FOUFOU obtained a Ph.D. in computer science in 1997 from the University of Claude Bernard Lyon, France, and wrote a dissertation on parametric surface intersections. From 1998 to 2009, he worked with the Computer Science Department at the University of Burgundy, France as a faculty member. In 2005 and 2006, he worked as a temporary guest researcher, at the National Institute of Standards and Technology, Gaithersburg, MD, USA. Since Sept. 2009, he has worked at the Department of Computer Science & Engineering at Qatar University. His research interests include geometric modeling and geometric constraint solving for curve and surface representations, and image processing for face recognition. He is also interested in data models for product lifecycle management and smart machining systems." ]
- Funds：
- DOI：10.1631/FITEE.1601316
  CLC： TP242
- Received：09 June 2016，
  
  Revised：2017-10-29，
  
  Published：2017-10
- Accepted：
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Roger BOSTELMAN, Elena MESSINA, Sebti FOUFOU. Cross-industry standard test method developments:from manufacturing to wearable robots[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(10): 1447-1457.
DOI：

Roger BOSTELMAN, Elena MESSINA, Sebti FOUFOU. Cross-industry standard test method developments:from manufacturing to wearable robots[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(10): 1447-1457. DOI： 10.1631/FITEE.1601316.

摘要

制造机器人正朝着轻型机器人的人机协作方向发展。类似地，被动式（弹簧和平衡制动）和主动式（电机制动）外骨骼也可用于人类穿戴并移动身体部位。被计算机和集成传感器控制的外骨骼也被称作"可穿戴机器人"。通过风险评估，符合安全标准的制造机器人和可穿戴机器人现已允许人类使用。然而，两种系统都缺少其性能标准。可穿戴机器人性能标准测试方法可以从目前针对制造机器人和紧急响应机器人的类似性能标准测试方法的研究中得到启发。本文对制造机器人和搜救机器人性能测试的最新研究进行了介绍，同时讨论了如何利用相同测试方法更好地获得可穿戴机器人的性能。

Abstract

Manufacturing robotics is moving towards human-robot collaboration with light duty robots being used side by side with workers. Similarly

exoskeletons that are both passive (spring and counterbalance forces) and active (motor forces) are worn by humans and used to move body parts. Exoskeletons are also called 'wearable robots' when they are actively controlled using a computer and integrated sensing. Safety standards now allow

through risk assessment

both manufacturing and wearable robots to be used. However

performance standards for both systems are still lacking. Ongoing research to develop standard test methods to assess the performance of manufacturing robots and emergency response robots can inspire similar test methods for exoskeletons. This paper describes recent research on performance standards for manufacturing robots as well as search and rescue robots. It also discusses how the performance of wearable robots could benefit from using the same test methods.

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references

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