arXiv (All)
open access
Anticipatory Robot Goalkeeping via Monotone Optimal Stopping
Robots engaged in fast physical interactions often need to act before the intent of another agent is fully known. Anticipatory goalkeeping illustrates this challenge. Waiting provides more reliable information about the target but reduces the physical opportunity for interception, whereas acting ear
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
- Humanlikeness as design, anthropomorphism as inference: a conceptual framework for human–robot interaction.#304968
- Managing Expectation Gaps in Humanlike Robots: Toward Transparent and Acceptable Companions for University Students / Ashita Ashok ; Betreuer: Karsten Berns#623918
- Human planning in stochastic environments#221334
- Designing Beyond Anthropomorphism: Human- and Robot-Like Error Recovery for Robot Navigation Errors#965714
- Artificial life and ‘nature’s purposes’: The question of behavioral autonomy#761308
Record · ID 1050165
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