abstract

Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines

Authors:

HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

Pages 239 - 240

https://doi.org/10.1145/2701973.2702705

Published: 02 March 2015 Publication History

Get Access

Abstract

Industrial robots are on the verge of emerging from their cages, and entering the final assembly to work along side humans. Towards this we are developing a collaborative robot capable of assisting humans in the final automotive assembly. Several algorithmic as well as design challenges exist when the robots enter the unpredictable, human-centric and time-critical environment of final assembly. In this work, we briefly discuss a few of these challenges along with developed solutions and proposed methodologies, and their implications for improving human-robot collaboration.

References

[1]

Rob@work. www.care-o-bot-research.org/robatwork-3.

Google Scholar

[2]

J. C. Boerkoel Jr and J. A. Shah. Planning for flexible human-robot co-navigation in dynamic manufacturing environments. In HRI Pioneers, 2013.

Google Scholar

[3]

B. Hamner, S. Koterba, J. Shi, R. Simmons, and S. Singh. An autonomous mobile manipulator for assembly tasks. Autonomous Robots, 28(1):131--149, 2010.

Digital Library

Google Scholar

[4]

G. Hoffman. Evaluating fluency in human-robot collaboration. In HRI Workshop on Human Robot Collaboration, 2013.

Google Scholar

[5]

G. Hoffman and C. Breazeal. Effects of anticipatory action on human-robot teamwork: Efficiency, fluency, and perception of team. In HRI, pages 1--8, 2007.

Digital Library

Google Scholar

[6]

B. Kluge, D. Bank, and E. Prassler. Motion coordination in dynamic environments: Reaching a moving goal while avoiding moving obstacles. In IEEE Intl. Workshop on Robot and Human Interactive Communication, 2002.

Crossref

Google Scholar

[7]

J. Krüger, T. Lien, and A. Verl. Cooperation of human and machines in assembly lines. CIRP Annals-Manufacturing Tech., 58(2):628--646, 2009.

Crossref

Google Scholar

[8]

A. E. Patla, A. Adkin, and T. Ballard. Online steering: coordination and control of body center of mass, head and body reorientation. Experimental Brain Research, 129(4):629--634, 1999.

Crossref

Google Scholar

[9]

C. Pérez-D'Arpino and J. Shah. Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. Currently under review.

Google Scholar

[10]

R. D. Schraft, C. Meyer, C. Parlitz, and E. Helms. Powermate--a safe and intuitive robot assistant for handling and assembly tasks. In ICRA, 2005.

Crossref

Google Scholar

[11]

E. A. Sisbot, L. F. Marin-Urias, R. Alami, and T. Simeon. A human aware mobile robot motion planner. IEEE Transactions on Robotics, 23(5):874--883, 2007.

Digital Library

Google Scholar

[12]

V. V. Unhelkar, J. Perez, J. C. Boerkoel Jr, J. Bix, S. Bartscher, and J. A. Shah. Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines. In ICRA, 2014.

Crossref

Google Scholar

[13]

V. V. Unhelkar, C. Pérez-D'Arpino, L. Stirling, and J. A. Shah. Human-robot co-navigation using anticipatory indicators of human walking motion. Currently under review.

Google Scholar

[14]

V. V. Unhelkar, H. C. Siu, and J. A. Shah. Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. In HRI, 2014.

Digital Library

Google Scholar

Cited By

View all

Keshvarparast ABattini DBattaia OPirayesh A(2024)Collaborative robots in manufacturing and assembly systems: literature review and future research agendaJournal of Intelligent Manufacturing10.1007/s10845-023-02137-w35:5(2065-2118)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10845-023-02137-w
Radi MMatar M(2024)Empowering Assembly Lines with Human–Robot Collaboration for Enhanced Productivity and SafetyAI in Business: Opportunities and Limitations10.1007/978-3-031-49544-1_8(91-101)Online publication date: 2-May-2024
https://doi.org/10.1007/978-3-031-49544-1_8
Mahdi HAkgun SSaleh SDautenhahn K(2022)A survey on the design and evolution of social robots — Past, present and futureRobotics and Autonomous Systems10.1016/j.robot.2022.104193156:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.robot.2022.104193
Show More Cited By

Index Terms

Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Robotic planning
    2. Planning and scheduling
      1. Robotic planning

Recommendations

Levels of human and robot collaboration for automotive manufacturing
PerMIS '12: Proceedings of the Workshop on Performance Metrics for Intelligent Systems

United States Consortium for Automotive Research (USCAR) conducted a concept feasibility study in 2010--2011 to investigate critical requirements to implement fenceless (the long term goal) or minimally fenced (the short term goal) robotics work cells ...
Flexible robotic assembly in dynamic environments
PerMIS '10: Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop

While robotic automation has played a key role in the automotive industry and specifically in stamping, welding, material handling and painting over the last 30 years, currently there are no robotic assembly applications in the final assembly of a ...
Transitional or partnership human and robot collaboration for automotive assembly
PerMIS '10: Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop

Traditional automotive manufacturing tasks that are automated to date by industrial robots utilize a human robot exclusion strategy for normal production. Although new generations of robots are envisioned to emulate humans' capabilities to collaborate ...

Comments

Information & Contributors

Information

Published In

HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

March 2015

336 pages

ISBN:9781450333184

DOI:10.1145/2701973

General Chairs:
Julie A. Adams
Vanderbilt University, USA
,
William Smart
Oregon State University, USA
,
Program Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Leila Takayama
Google[x], USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2015

Check for updates

Author Tags

Qualifiers

Abstract

Conference

HRI '15

Sponsor:

HRI '15: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

Oregon, Portland, USA

Acceptance Rates

HRI'15 Extended Abstracts Paper Acceptance Rate 92 of 102 submissions, 90%;

Overall Acceptance Rate 192 of 519 submissions, 37%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
596
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)1

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Keshvarparast ABattini DBattaia OPirayesh A(2024)Collaborative robots in manufacturing and assembly systems: literature review and future research agendaJournal of Intelligent Manufacturing10.1007/s10845-023-02137-w35:5(2065-2118)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10845-023-02137-w
Radi MMatar M(2024)Empowering Assembly Lines with Human–Robot Collaboration for Enhanced Productivity and SafetyAI in Business: Opportunities and Limitations10.1007/978-3-031-49544-1_8(91-101)Online publication date: 2-May-2024
https://doi.org/10.1007/978-3-031-49544-1_8
Mahdi HAkgun SSaleh SDautenhahn K(2022)A survey on the design and evolution of social robots — Past, present and futureRobotics and Autonomous Systems10.1016/j.robot.2022.104193156:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.robot.2022.104193
Odong LPerini ASusi A(2022)Requirements Engineering for Collaborative Artificial Intelligence Systems: A Literature SurveyResearch Challenges in Information Science10.1007/978-3-031-05760-1_24(409-425)Online publication date: 14-May-2022
https://doi.org/10.1007/978-3-031-05760-1_24
Liu DZhang XDu YGao DWang MCong M(2021)Industrial Insert Robotic Assembly Based on Model-based Meta-Reinforcement Learning2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO54168.2021.9739258(1508-1512)Online publication date: 27-Dec-2021
https://dl.acm.org/doi/10.1109/ROBIO54168.2021.9739258
Aschenbrenner DBerglund ÅNetten MRusak ZStahre J(2021)Sustainable human-robot co-production for the bicycle industryProcedia CIRP10.1016/j.procir.2021.11.144104(857-862)Online publication date: 2021
https://doi.org/10.1016/j.procir.2021.11.144
Zhou TWachs J(2019)Spiking Neural Networks for early prediction in human–robot collaborationInternational Journal of Robotics Research10.1177/027836491987225238:14(1619-1643)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1177/0278364919872252
Chen YWang WAbdollahi ZWang ZSchulte JKrovi VJia Y(2018)A Robotic Lift Assister: A Smart Companion for Heavy Payload Transport and Manipulation in Automotive AssemblyIEEE Robotics & Automation Magazine10.1109/MRA.2018.281570425:2(107-119)Online publication date: Jun-2018
https://doi.org/10.1109/MRA.2018.2815704
Matsas EVosniakos GBatras DRichir S(2016)Modelling simple human-robot collaborative manufacturing tasks in interactive virtual environmentsProceedings of the 2016 Virtual Reality International Conference10.1145/2927929.2927948(1-4)Online publication date: 23-Mar-2016
https://dl.acm.org/doi/10.1145/2927929.2927948
Manzo GSerratosa FVento M(2016)Online human assisted and cooperative pose estimation of 2D camerasExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.05.01260:C(258-268)Online publication date: 30-Oct-2016
https://dl.acm.org/doi/10.1016/j.eswa.2016.05.012
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Levels of human and robot collaboration for automotive manufacturing

Flexible robotic assembly in dynamic environments

Transitional or partnership human and robot collaboration for automotive assembly