Conference proceeding
A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis
2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp.126-127
12/2021
DOI: 10.1109/CHASE52844.2021.00028
Abstract
Successful human-robot communication relies on strong machine-learning capabilities of natural language processing with contextual constraints. This paper developed and tested a communication platform using a social robot to investigate the applications of multiskilled language-image analysis. Three users tested the system to successfully complete a protocol based on referential communication tasks. The system may have broad applications in various scenarios involving human robot interaction.
Details
- Title: Subtitle
- A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis
- Creators
- Ziming Liu - University of Tennessee at KnoxvilleParker N Collier - University of Tennessee at KnoxvilleCharles Wang - University of Tennessee at KnoxvilleEun Jin Paek - University of Tennessee Health Science CenterSi On Yoon - University of IowaDevin Casenhiser - University of Tennessee Health Science CenterXiaopeng Zhao - University of Tennessee at Knoxville
- Resource Type
- Conference proceeding
- Publication Details
- 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp.126-127
- DOI
- 10.1109/CHASE52844.2021.00028
- Publisher
- IEEE
- Language
- English
- Date published
- 12/2021
- Academic Unit
- Communication Sciences and Disorders
- Record Identifier
- 9984258845402771
Metrics
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