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机器人

66 篇 · 资讯流
  2. arXiv cs.CV（计算机视觉）

    RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation

    Pre-trained robot policies, such as Vision-Language-Action (VLA) models, provide a strong foundation for generalist robo

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  3. arXiv cs.RO（机器人）

    JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents

    Embodied agents must translate multimodal observations and user requests into executable actions while adapting to produ

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  5. arXiv cs.RO（机器人）

    EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation

    Scaling robotic foundation models requires diverse training data and reliable evaluation environments. Simulation offers

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  7. arXiv cs.RO（机器人）

    Visual Swarm Navigation via Deep Reinforcement Learning and Evolutionary Hybrid Design

    Swarm robotics presents a robust and cost-effective paradigm for advanced automation in complex, dynamic environments, s

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  8. arXiv cs.RO（机器人）

    Adaptive Mean Flow for Responsive Closed-Loop Robot Control

    Diffusion- and flow-based robot policies have recently become widespread in robotic Imitation Learning (IL) due to their

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  10. arXiv cs.AI（人工智能）

    Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents

    Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skil

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  12. arXiv cs.RO（机器人）

    Managing Context and Communication in Distributed Agentic UAV Swarms

    Unmanned aerial vehicle (UAV) swarms increasingly rely on language-model agents to provide adaptive mission-level reason

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  14. arXiv cs.RO（机器人）

    GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

    Precise grounding matters. It specifies which object is the target and where that object is, even in clutter and for tin

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  15. arXiv cs.RO（机器人）

    GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed

    Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal

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  16. arXiv cs.RO（机器人）

    Text-to-3D Policy: Fine-Grained Language-Behavior Alignment for Unseen Specification Generalization

    3D visuomotor policies provide a strong foundation for spatially precise manipulation, yet current text-to-3D policies s

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