Robot action planning by commonsense knowledge in human-robot collaborative tasks

Christopher J. Conti, Aparna S. Varde, Weitian Wang

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

Abstract

Robotics and artificial intelligence (AI) span the broad realm of mechatronics in general. Humans and robots can collaborate with each other to enhance various tasks, e.g. in the vehicle industry. Facets of AI such as commonsense knowledge can play a significant role here. In this paper, we propose an approach for human-robot collaboration such that it leverages commonsense knowledge to develop models for the simulation of assembly tasks in real-world applications. We consider modeling based on relevant attributes, e.g. weight and stability of parts. The proposed approach thereby entails human-robot interaction, mathematical modeling, both semantics and pragmatics in commonsense knowledge, as well as challenges specific to the application domain. We describe our approach, focusing on the mathematical modeling, and conduct our experimental evaluation using simulation tasks. Experimental results indicate that the proposed approach yields better outcomes than humans or robots working alone, which is in line with other such claims in the field of human-robot collaboration. This work sets the stage for real robot applications based on the results of our simulation tasks.

Original languageEnglish
Title of host publicationIEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
EditorsSatyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728196152
DOIs
StatePublished - Sep 2020
Event2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020 - Vancouver, Canada
Duration: 9 Sep 202012 Sep 2020

Publication series

NameIEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings

Conference

Conference2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020
CountryCanada
CityVancouver
Period9/09/2012/09/20

Keywords

  • Artificial intelligence
  • Commonsense knowledge
  • Human-robot interaction
  • Mathematical modeling
  • Robotics
  • Simulation studies

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