Research Trend Analysis of Multi-Task Behavior Cloning for Robot Manipulation

Sung Gil Park, Woo Jin Ahn, Seong Woo Kang, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large language models have revolutionized various domains of artificial intelligence and robotics, enabling advanced capabilities in manipulation robots. This paper explores the recent trends in the integration of large language models with manipulation robots, behavior cloning, and task planning. We investigate how large language models have been leveraged to enhance the communication and interaction between humans and manipulation robots, enabling intuitive and natural language-based robot control. Additionally, we explore the applications of behavior cloning techniques that leverage large language models to replicate human behaviors and expert demonstrations, enabling robots to learn complex manipulation tasks by imitating and emulating human actions.

Original languageEnglish
Title of host publication23rd International Conference on Control, Automation and Systems, ICCAS 2023
PublisherIEEE Computer Society
Pages1969-1972
Number of pages4
ISBN (Electronic)9788993215274
DOIs
Publication statusPublished - 2023
Event23rd International Conference on Control, Automation and Systems, ICCAS 2023 - Yeosu, Korea, Republic of
Duration: 2023 Oct 172023 Oct 20

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference23rd International Conference on Control, Automation and Systems, ICCAS 2023
Country/TerritoryKorea, Republic of
CityYeosu
Period23/10/1723/10/20

Bibliographical note

Publisher Copyright:
© 2023 ICROS.

Keywords

  • Behavior Cloning
  • Lage language model
  • Manipulation Robot
  • Task Planning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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