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 language | English |
|---|---|
| Title of host publication | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 |
| Publisher | IEEE Computer Society |
| Pages | 1969-1972 |
| Number of pages | 4 |
| ISBN (Electronic) | 9788993215274 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 - Yeosu, Korea, Republic of Duration: 2023 Oct 17 → 2023 Oct 20 |
Publication series
| Name | International Conference on Control, Automation and Systems |
|---|---|
| ISSN (Print) | 1598-7833 |
Conference
| Conference | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Yeosu |
| Period | 23/10/17 → 23/10/20 |
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