Bielefeld Pub
metadata only
Towards a cognitive architecture to enable natural language interaction in co-constructive task learning
Scheibl M, Richter B, Müller A, Beetz M, Wrede B. Towards a cognitive architecture to enable natural language interaction in co-constructive task learning. In: 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE; 2025: 170-177.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Towards a cognitive architecture to enable natural language interaction in co-constructive task learning#965868
- Cognitive Agents with Commonsense#748456
- Cognitive Assessment Through Human-Robot Interaction - Performance Evaluation#1019251
- AwarenessBench: Assessing Cognitive Capabilities of Language Models#1129997
- MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control#973844
Record · ID 965846
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive