Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications

Author:

Kimble Kenneth,Albrecht Justin,Zimmerman Megan,Falco Joe

Abstract

The National Institute of Standards and Technology is developing performance tests and associated artifacts to benchmark research in the area of robotic assembly. Sets of components consistent with mechanical assemblies including screws, gears, electrical connectors, wires, and belts are configured for assembly or disassembly using a task board concept. Test protocols accompany the task boards and are designed to mimic low-volume, high-mixture assembly challenges typical to small and medium sized manufacturers. In addition to the typical rigid components found in assembled products, the task boards include many non-rigid component operations representative of wire harness and belt drive assemblies to support research in the area of grasping and manipulation of deformable objects, an area still considered to be an emerging research problem in robotics. A set of four primary task boards as well as competition task boards are presented as benchmarks along with scoring metrics and a method to compare robot system assembly times with human performance. Competitions are used to raise awareness to these benchmarks. Tools to progress and compare research are described along with emphasis placed on system competition-based solutions to grasp and manipulate deformable task board components.

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference31 articles.

1. ARM institute2022

2. Graspa 1.0: Graspa is a robot arm grasping performance benchmark;Bottarel;IEEE Robot. Autom. Lett.,2020

3. The ycb object and model set: Towards common benchmarks for manipulation research;Calli,2015

4. Benchmark for bimanual robotic manipulation of semi-deformable objects;Chatzilygeroudis;IEEE Robot. Autom. Lett.,2020

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic literature review of computer vision applications in robotized wire harness assembly;Advanced Engineering Informatics;2024-10

2. SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review;Robotics and Computer-Integrated Manufacturing;2024-04

4. A Robotic Solution to Peg in/out Hole Tasks with Latching Requirements;IEEE Robotics and Automation Letters;2024-02

5. Manipulation of Deformable Linear Objects Enabled by Sound-event Classification in the Manufacturing Environment;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3