"Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for ..."

Hassan Ali et al. (2024)

> Home

Details and statistics

DOI: 10.1109/HUMANOIDS58906.2024.10769803

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/humanoids/0005AMBKGW24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/humanoids/0005AMBKGW24
Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukás Gajdosech, Stefan Wermter:
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. Humanoids 2024: 811-818

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.