仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0,深入理解具身智能

smolvla 开源项目推荐(88 个)
smolvla 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 88 个仓库FastCrest Tether:开源软件的边缘到云AI部署CLI。优化、验证、部署到Jetson、RTX、Apple Silicon、AMD上。混合边缘-云推理与奇偶校验证书。
实机部署so101流程和踩坑全记录,使用lerobot框架so101真机。在本地 ubuntu22+5070显卡 搭建环境,部署,录数据,训练smolvla,推理全流程。
This repository implements pi0, pi0fast and smolvla models on sim and real robots using Lerobot interface
Automated agentic research loop for vision-language-action (VLA) robot policy self-improvement
该项目在 GitHub 上没有填写描述
Review Physical AI with original evidence: compare VLM explanations against recorded robot outcomes, replay SmolVLA failures, and inspect Newton/Genesis simulations offline.
End-to-end SO-101 tic-tac-toe: printable hardware, local UI, LeRobot dataset, SmolVLA policy and guarded Strands agent
Provael — red-team open Vision-Language-Action (VLA) robot policies in simulation and report an Attack Success Rate (ASR). Prove it. Prevail.
Vision-language-action stack for contact-rich robot manipulation on sub-$300 hardware. SO-101 + LeRobot; ACT 18/20 and SmolVLA 16/20, both generalizing to a held-out workspace cell.
Online GRPO for SmolVLA's flow-matching action expert on LIBERO: marginal-preserving SDE retrofit, locked eval protocol, seed-replicated +6.3pp on LIBERO-Object, failure-boundary analysis. Fits in 24 GB VRAM.
在 RTX 3060 6GB 上复现 SmolVLA × LIBERO,并开展低显存 LoRA 微调、多随机种子评测与遗忘控制实验。Low-VRAM SmolVLA × LIBERO reproduction with LoRA adaptation, fixed multi-seed evaluation, and forgetting controls.
Agentic planning for Vision-Language-Action robotics — orchestrating SmolVLA/LeRobot policies with LangGraph for multi-step robot manipulation.
Manual real‑world benchmarking of ACT/SmolVLA on a physical SO101 robot using LeRobot.
Reproducing SmolVLA-450M on LIBERO benchmark with cross-embodiment experiments | LeRobot
Per-Group Error, Not Total MSE. Fine-tuning VLAs on the Toyota HSR. ICRA 2026 Workshop From Data to Decisions, 1st place out of 36.
Unified pipeline for collecting, labeling, converting, and training robot demonstration data with SmolVLA, Pi0, Pi0.5, or ACT policies - extended with Qwen3-VL offline phase annotation, a runtime FSM, and three phase-conditioned policy variants.
Language-commanded mobile manipulation in MuJoCo: a Go2 quadruped with a Z1 arm fetches a named tool on one 6 GB GPU. 125/125 grasps, 86% end-to-end, and a VLA negative result diagnosed to 18/20.
Real-world robot learning with AgileX Piper: SpaceMouse demonstrations, SmolVLA fine-tuning, and wrist-camera policy execution.
A heterogeneous dual-model robot navigation system pairing Falcon Mamba (SSM) as a fast reflex layer with SmolVLA (VLA) as a deliberate planning layer, arbitrated by a priority controller, fully simulatable in Wokwi on ESP32. as a part of learning project.
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/smolvla。
- 该话题在 GitHub 上共有 88 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 4657 Star,覆盖 5 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。