| 1 |
PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction |
PointACT:利用多尺度点-动作交互的3D感知视觉-语言-动作模型 |
manipulation vision-language-action VLA |
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| 2 |
HITL-D: Human In The Loop Diffusion Assisted Shared Control |
提出HITL-D框架,结合扩散模型与人机协作,提升遥操作性能 |
manipulation teleoperation shared control |
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| 3 |
Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation |
提出结构化隐空间点,提升机器人操作中高效视觉表征的学习能力 |
manipulation 3DGS implicit representation |
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| 4 |
roto 2.0: The Robot Tactile Olympiad |
Roto 2.0:面向触觉强化学习的机器人灵巧操作基准平台,提升盲操作性能 |
manipulation reinforcement learning distillation |
✅ |
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| 5 |
DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation |
DISC:通过策略生成解耦指令与状态条件控制,避免视觉捷径。 |
manipulation language conditioned |
✅ |
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