NEWVectors or files. Pick a path.Start →
    Models/Robotics/ethanCSL/svla_koch_pick_n_place_vla_steering_height_test2
    Roboticslerobotapache-2.0

    svla_koch_pick_n_place_vla_steering_height_test2

    by ethanCSL

    Identifier
    Model ID
    ethanCSL/svla_koch_pick_n_place_vla_steering_height_test2

    Tags

    lerobotsafetensorssmolvlaroboticsdataset:ethanCSL/svla_koch_pick_n_place_vla_steering_height_test2arxiv:2506.01844base_model:lerobot/smolvla_basebase_model:finetune:lerobot/smolvla_baselicense:apache-2.0region:us

    Use svla_koch_pick_n_place_vla_steering_height_test2 on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, svla_koch_pick_n_place_vla_steering_height_test2 runs as a managed extractor inside a processing pipeline. Point a bucket of robotics data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.