Task_000004_Peanut_Pick_Place_RLDX_bs8_step10000

Model · Robotics

rldx2_rldximg_robotwin_b128_60k

KOO, MYUNGKYU

Vanilla baseline for the RLDX-2 project: RoboTwin 2.0 leaderboard co-train setting (50 tasks x 50 democlean episodes, Aloha-AgileX, official LeRobot export). - Optimizer batch 128, 60000 steps, final checkpoint (optimizer state not included) Configs reference the base backbone / tokenizer by hub id.

FLUX 3 Action (flux3) is Black Forest Labs' video-action model: the FLUX.3 video trunk with an action modality that is denoised jointly with the next video frames, finetuned per robot embodiment with fresh action heads. This policy has been trained and pushed to the Hub using LeRobot. Learn how to train and run it in the LeRobot flux3 guide, or browse the full documentation. The policy consumes these observation features and produces these action features. Inputs Outputs New to LeRobot? These guides cover the full workflow: - Install LeRobot — set up the lerobot package. - Hardware setup — assemble, wire, and calibrate your robot and cameras. - Record data & train a policy — the end-to-end…

Model · Robotics

openvla-7b

OpenVLA Collaboration

OpenVLA 7B (openvla-7b) is an open vision-language-action model trained on 970K robot manipulation episodes from the Open X-Embodiment dataset. The model takes language instructions and camera images as input and generates robot actions. It supports controlling multiple robots out-of-the-box, and can be quickly adapted for new robot domains via (parameter-efficient) fine-tuning. All OpenVLA checkpoints, as well as our training codebase are released under an MIT License. For full details, please read our paper and see our project page. OpenVLA models take a language instruction and a camera image of a robot workspace as input, and predict (normalized) robot actions consisting of 7-DoF…

Model · Robotics

openvla-7b-oft-finetuned-libero-spatial

Moo Jin Kim

This repository contains the OpenVLA-OFT checkpoint for LIBERO-Spatial, as described in Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success. OpenVLA-OFT significantly improves upon the base OpenVLA model by incorporating optimized fine-tuning techniques. See here for other OpenVLA-OFT checkpoints: https://huggingface.co/moojink?searchmodels=oft This example demonstrates generating an action chunk using a pretrained OpenVLA-OFT checkpoint. Ensure you have set up the conda environment as described in the GitHub README.

Model · Robotics

openvla-7b-oft-finetuned-libero-object

Moo Jin Kim

This repository contains the OpenVLA-OFT checkpoint for LIBERO-Object, as described in Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success. OpenVLA-OFT significantly improves upon the base OpenVLA model by incorporating optimized fine-tuning techniques. See here for other OpenVLA-OFT checkpoints: https://huggingface.co/moojink?searchmodels=oft This example demonstrates generating an action chunk using a pretrained OpenVLA-OFT checkpoint. Ensure you have set up the conda environment as described in the GitHub README.

Model · Robotics

openvla-7b-oft-finetuned-libero-goal

Moo Jin Kim

This repository contains the OpenVLA-OFT checkpoint for LIBERO-Goal, as described in Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success. OpenVLA-OFT significantly improves upon the base OpenVLA model by incorporating optimized fine-tuning techniques. See here for other OpenVLA-OFT checkpoints: https://huggingface.co/moojink?searchmodels=oft This example demonstrates generating an action chunk using a pretrained OpenVLA-OFT checkpoint. Ensure you have set up the conda environment as described in the GitHub README.