OSF
open access
Learning a novel visual cue to update internal predictions of object weight
Background Efficient manual interactions with objects rely on accurate predictions of object heaviness, informed by both visual cues and prior lifting experience. While arbitrary visual cues can be learned to guide motor planning, their predictive utility compared to a familiar cue like visual volum
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.
OSF
Related documents
- Learning a novel visual cue to update internal predictions of object weight#989421
- Learning a novel visual cue to update internal predictions of object weight#928448
- Bodily Skill#699766
- Compact Visuotactile World Models for Lifting: Prediction, Reward Alignment, and Force Constraints#998437
- Two facets of automaticity: Inverse relationship between motor automaticity and habitual control#29823
Record · ID 989305 · SHA-256 181194287ca0a0b3
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