Development of a Teaching-Learning-Prediction-Collaboration Model for Human-Robot Collaborative Tasks

Omar Obidat, Jesse Parron, Rui Li, Julia Rodano, Weitian Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human-robot collaboration has been one of the main focuses for both research and usage in advanced manufacturing. In human-robot partnerships, instead of static collaboration for repetitive tasks, it is more significant for the robot to dynamically understand its human partner's intentions and collaborate with them to complete the shared tasks. Motivated by these issues, we develop a model for the robot to learn to complete tasks by watching and analyzing human demonstrations. This allows the robot to become more accurate and customizable with each human's personalized working preference. Based on the long short-term memory method, we propose a new approach to have the robot recognize objects, understand ongoing human actions, and predict human intentions. This will allow the robot to automatically adjust its motions and dynamically pick up and deliver the object to its human partner in the collaborative task. Experimental results suggest that the proposed model can enable robots, like humans, to learn and predict humans' intentions dynamically and intelligently to accommodate customized and personalized collaborative tasks. Future work of this study is also discussed.

Original languageEnglish
Title of host publicationProceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages728-733
Number of pages6
ISBN (Electronic)9798350315196
DOIs
StatePublished - 2023
Event13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023 - Qinhuangdao, China
Duration: 11 Jul 202314 Jul 2023

Publication series

NameProceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023

Conference

Conference13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023
Country/TerritoryChina
CityQinhuangdao
Period11/07/2314/07/23

Keywords

  • human-robot collaboration
  • learning from demonstrations
  • Robotics
  • smart manufacturing

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