Bielefeld Pub
metadata only
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
Baraka K, Idrees I, Kessler Faulkner T, et al. Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. 2025.
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
- Intelligent Robotics and Applications : 18th International Conference, ICIRA 2025, Okayama, Japan, August 6–9, 2025, Proceedings, Part I / edited by Takayuki Matsuno, Honghai Liu, Lianqing Liu, Zhouping Yin, Xiangyang Zhu, Weihong Ren, Zhiyong Wang, Yixuan Sheng#921792
- Using a robot peer to encourage the production of spatial concepts in a second language#955552
- Task Instruction#1136635
- People modify their tutoring behavior in robot-directed interaction for action learning#1136657
- DexTaG: Tactile-as-Guidance in Reinforcement Learning for Dexterous Manipulation#1118955
Record · ID 978588
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