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机器人

51 篇 · 资讯流
  2. arXiv cs.RO（机器人）

    SomaAlign: Reliability-Aware Multimodal Representation Learning for Soft Robotic Grasping

    Robust multimodal perception for soft robotic grasping is challenged by modality-dependent noise, semantic ambiguity, an

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  4. arXiv cs.RO（机器人）

    Assuring Learning-Enabled Cyber-Physical Systems with Foundation Models: A Neuro-Symbolic Agenda for Testing, Verification, and Runtime Assurance

    Learning-enabled cyber-physical systems (CPS), including autonomous vehicles and UAVs, increasingly incorporate foundati

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  6. arXiv cs.RO（机器人）

    TAPESTRY: A Single Backbone for Video Generation and Robot Control

    Pretrained video generation models encode rich priors about physical interactions, but leveraging them for robot control

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  7. arXiv cs.RO（机器人）

    FISRF: Flexible Instructional Scaffolding Reflection Framework for Robotics Task Planning with Large Language Model

    Large Language Models (LLMs) are widely adopted for reflective error correction in task planning; however, existing appr

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  9. arXiv cs.RO（机器人）

    Dream to Assist: Intent-Conditioned World Models for Shared Vehicle Control

    Assistive agents in shared-control settings face a dual challenge: acting proactively to align with the human's intentio

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  11. arXiv cs.RO（机器人）

    SCOPE: Scene-graph Construction Optimized by Plan Error-correction for Robot Long-term Planning Datasets

    Task and Motion Planning (TAMP) stands as a fundamental challenge in robotics, essential for enabling autonomous agents

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  13. arXiv cs.RO（机器人）

    Learning Robot Behavior Priors from Non-Robotic Synthetic Data

    Real robot data, rich across tasks and morphologies, is often treated as the bottleneck for training robot learning mode

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  14. arXiv cs.RO（机器人）

    Agentic World Action Models

    Recent world action models provide visual foresight and future prediction for robot manipulation, but lack explicit mech

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  16. arXiv cs.RO（机器人）

    Causal world models under physical parameter shifts

    World models predict how embodied systems evolve under actions, but their accuracy can degrade when physical conditions

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  18. arXiv cs.RO（机器人）

    Large Multimodal Models for Direct Robot Control: GPT-6 as a Beginning

    Recent advances in visuospatial understanding and agentic reasoning enable direct robotic manipulation with general-purp

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