🎁 A collection of utilities for LeRobot.
libero 开源项目推荐(143 个)
libero 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 143 个仓库Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
一个用于程序化使用 FPGA 开发工具的 Python 包。
A counterfactual battery for instruction following in vision-language-action policies: change one word of the instruction, hold the scene, and record which object the arm reaches. Ships the deconfounded demonstration generators and their confounded control.
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
[CoRL 25] Code for FLOWER VLA for finetuning FLOWER on CALVIN and all LIBERO environments
CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents — CaPtain-Harness, SFT and RL training code, benchmark adapters
Fine-grained robot control with Jev, physics previews, and configurable LIBERO tasks.
Official code for AffordanceVLA: Empowering Action Generation through Affordance-Aware Understanding.
Anchor-Align (arXiv:2607.13429): VLA finetuning that prevents behavior cloning from erasing pretrained VLM representations (catastrophic forgetting) and aligns language with actions. OOD generalization on a physical xArm7, LIBERO-PRO, LIBERO-Plus and CALVIN.
[NeurIPS 2025] Code for BEAST Experiments on CALVIN and LIBERO.
Official implementation of PhaseLoRA: control-regime-conditioned low-rank adaptation for continuous-action vision-language-action policies, built on OpenPI.
🏔️ ALPS: Visual State Encoders for World Models
SUREFlow is a lightweight, Mamba-based vision-language-action model with 179M parameters for robot manipulation. Paper: https://arxiv.org/pdf/2607.10504
SmolWAM: a 0.88B latent world-action model for robot manipulation on edge devices. NeurIPS 2026 Workshop on Robotics World Modeling.
Backdoor training and evaluation scripts for vision-language-action models on LIBERO.
Fast-VLA (FastVLA): You Only Think Once for Robot Manipulation
A simple, efficient, and extensible evaluation framework for robot policies across diverse benchmarks, supporting both local and remote execution
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/libero。
- 该话题在 GitHub 上共有 143 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2592 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
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