| 1 |
EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos |
EgoVLA：利用第一视角人类视频学习视觉-语言-动作模型，提升机器人操作能力 |
humanoid manipulation bi-manual |
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| 2 |
Regrasp Maps for Sequential Manipulation Planning |
提出基于重抓取地图的序列化操作规划方法，解决约束和杂乱环境下的操作问题。 |
manipulation motion planning task and motion planning |
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| 3 |
The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey |
综述：具身灵巧操作的进展与挑战，聚焦数据收集与技能学习框架。 |
manipulation dexterous hand dexterous manipulation |
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| 4 |
VLMgineer: Vision Language Models as Robotic Toolsmiths |
VLMgineer：利用视觉语言模型作为机器人工具设计者，实现自动化工具发明。 |
manipulation foundation model |
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| 5 |
Heterogeneous Predictor-based Risk-Aware Planning with Conformal Prediction in Dense, Uncertain Environments |
提出基于异构预测器和风险感知的规划框架H-PRAP，解决密集不确定环境下的实时规划问题。 |
MPC model predictive control |
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| 6 |
A Fast Method for Planning All Optimal Homotopic Configurations for Tethered Robots and Its Extended Applications |
提出CDT-TCS算法以解决绳索机器人路径规划问题 |
motion planning |
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