In-Context World Modeling for Robotic Control
ICWM enables robot policies to infer system variables from self-generated interactions, allowing adaptation to novel configurations without parameter updates by treating system ide…
Hugging Face · Daily Papers
·Siyin Wang, Junhao Shi
·
·▲ 42 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Siyin Wang, Junhao Shi, Senyu Fei, Zhaoyang Fu, Li Ji, Jingjing Gong
- 42 upvotes da comunidade
- Temas: Vision-Language-Action models, in-context adaptation, system identification, robot policies, task-agnostic interactions, world modeling
Resumo
Resumo original (em inglês), extraído do paper:
ICWM enables robot policies to infer system variables from self-generated interactions, allowing adaptation to novel configurations without parameter updates by treating system identification as an in-context adaptation problem.Onde ler
// relacionados
Leia também
Blog
DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1
Blog
Half of Claude users say AI can already handle half their work according to Anthropic survey
Blog
Meta’s Astryx Brings a CLI and MCP Server to an Open-Source React Design System Agents Can Read
Dataset