VLA专业示例解读
π0.5: a Vision-Language-Action Model with Open-World Generalization
Co-training a VLA on heterogeneous data (multi-robot, web, high-level subtask labels) lets a mobile manipulator clean unseen homes end-to-end.
研究
论文
机器人与具身智能领域的最新论文，以及每篇对产业的意义。
暂无中文版，显示英文原文。
Humanoid control进阶示例解读
A Dual-System Vision-Language-Action Architecture for Whole-Upper-Body Humanoid Control
A slow VLM planner (7–9 Hz) and a fast visuomotor policy (200 Hz) control a full humanoid upper body from language.
Locomotion专业示例解读
Massively Parallel Sim-to-Real for Humanoid Locomotion
RL policies trained in GPU simulation transfer zero-shot to a commodity humanoid on rough terrain.
Tactile入门示例解读
Tactile Sensing for Dexterous Robot Hands: A Survey
Survey of sensor modalities, coverage and learning methods for in-hand manipulation.
World models进阶示例解读
Learning World Models from Egocentric Video for Home Robots
A video world model trained on robot egocentric footage predicts outcomes of actions for evaluation and planning.
Policy入门示例解读
Safety Standards and Deployment Patterns of Collaborative Robots in Korean SMEs
Cobot adoption in Korean SMEs is limited by integration cost more than by unit price.
论文来自 arXiv 机器人领域。尚未生成摘要的论文，显示摘要开头部分。