Embodied Robotics Research

Tag: in-context-learning

8 items with this tag.

  • Aug 26, 2026

    Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization

    • world-action-model
    • in-context-learning
    • human-video
    • synthetic-data-pipeline
    • zero-shot
    • vla-posttraining
  • Aug 25, 2026

    Skild AI: Introducing S1 — In-Context Learning for Robotics

    • vla-posttraining
    • in-context-learning
    • test-time-adaptation
    • foundation-model
    • industry
  • Aug 22, 2026

    GEN-1.5: Embodied Foundation Models are One-Shot Learners

    • vla
    • one-shot-learning
    • in-context-learning
    • foundation-model
    • vla-posttraining
  • Aug 05, 2026

    In-Context VLA: Endowing Vision-Language-Action Models with Language via In-Context Post-Training and Agentic Tool Use

    • vla
    • post-training
    • in-context-learning
    • agentic
    • tool-use
    • vla-posttraining
  • Aug 01, 2026

    StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models

    • vla
    • in-context-learning
    • test-time-adaptation
    • benchmarks
    • vla-posttraining
  • Jun 08, 2026

    SynthICL: Scalable In-context Imitation Learning with Synthetic Data

    • in-context-learning
    • synthetic-data
    • imitation-learning
    • one-shot-adaptation
    • vla-posttraining
  • Jun 05, 2026

    Retrieval-VLA: Training-Free In-Context Adaptation for Vision-Language-Action Models

    • vla
    • in-context-learning
    • memory
    • test-time-adaptation
    • vla-posttraining
  • Jun 04, 2026

    Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation

    • vla
    • in-context-learning
    • deformable-objects
    • sim-to-real

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