| 1 |
DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA |
DIAL通过潜在世界建模解耦意图与动作,实现端到端VLA控制。 |
humanoid humanoid robot manipulation |
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| 2 |
Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models |
提出基于强化学习与大语言模型的混合机器人操作框架,提升任务效率。 |
manipulation sim-to-real reinforcement learning |
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| 3 |
RAAP: Retrieval-Augmented Affordance Prediction with Cross-Image Action Alignment |
提出RAAP框架,通过检索增强和跨图像动作对齐实现鲁棒的Affordance预测。 |
manipulation affordance |
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| 4 |
IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction |
IMPASTO:融合模型预测控制与学习动态模型的机器人油画创作系统 |
model predictive control |
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