openpi

Open-source implementation of "RL Token: Bootstrapping Online RL with Vision-Language-Action Models"

ACOT-VLA-WM is an advanced Vision-Language-Action robotics framework that uses a predictive world model to generate visual subgoals, improving long-horizon robotic manipulation accuracy and robustness.

Real-time inference engine for openpi

Unofficial OpenPI extension experiment to build a more complete OpenPI-style VLA engineering stack: pi0.5 semantics, RTC, pi0.6 RECAP/MEM, and pi0.7-inspired world-model ideas.

Deployment-focused fork of OpenPI for LimX TRON2 manipulation — pi0.5 policy serving, task fine-tuning, TRON2 transforms, and real-robot client examples.

π₀ / π₀-FAST / π₀.₅ vision-language-action models adapted to Xense platforms — fine-tuning and real-world deployment on BiARX5, BiFlexiv and XTac-UMI dual-arm rigs.

End-to-end open-source stack for real Franka robots: realtime control, GELLO/VR data collection, policy training, and guarded deployment.

Try OpenPI closed loop simulation / scenes generation / 3DGS model scenes in genie_sim

ROS2-native runtime, benchmark, and adapter hub for Vision-Language-Action models.

An end-to-end tour of embodied AI world models: Closed-loop VLA simulation, Real2Edit2Real spatial scene editing, generalization benchmarking, and in-world-model RL self-evolution using GE-Sim 2.0 & OpenPI π₀.₅.

ArcheBase Physical AI 开放电子书：VLA、世界模型、机器人学习、控制、评测与开放数据实践

Reproducible AMD ROCm evaluation and full three-camera recording for BiGym, OpenPI JAX, MuJoCo and 3DGS.

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.

Kuavo Scene2 VLA: rosbag-to-LeRobot data pipeline, OpenPI π0.5 LoRA training, and ROS/MuJoCo closed-loop deployment

Same scene, different instruction: testing language steering and its limits with openpi's π0.5 model in LIBERO simulation.

基于 pi0/OpenPI 的 RM 双臂机器人 MuJoCo 仿真与策略接入项目（由 2025 年 6 月小项目整理，可能存在 bug）。

Fine-tuning π0-FAST on an RTX 4070 using synchronized camera and joint demonstrations from a custom 4-DOF teleoperation arm, with LeRobot conversion, policy serving, open/closed-loop evaluation, and a real-time dashboard.

Physical Intelligence — independent third-party profile of a public API surface, by API Evangelist. Physical Intelligence (often styled "Pi" or "π") is a San Francisco-based research company building general-purpose foundation models for robotics with the stated goal of producing learning algorithms that can control any robot to do any task.

Sanitized engineering notes on AI tools, infrastructure, and robotics.

Model-agnostic robot policy deployment with safety checks, dry-run, audit/replay, metrics and FastAPI.