pi0

Dexbotic: Open-Source Vision-Language-Action Toolbox

Running VLA at 30Hz frame rate and 480Hz trajectory frequency

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.

FastCrest Tether: the OSS edge-to-cloud AI deploy CLI. Optimize, verify, deploy across Jetson, RTX, Apple Silicon, AMD. Hybrid edge-cloud inference with parity certs.

CoRL25-"AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies"

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.

AZ-Touch PiZero Weatherstation

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.

This repository implements pi0, pi0fast and smolvla models on sim and real robots using Lerobot interface

AZ-Touch Pi0 Codelock - code examples in C for Pi Zero

Automated agentic research loop for vision-language-action (VLA) robot policy self-improvement

樹莓派迷你開源相機(Pi Zero W, 5MP Camera, 2.2 inch TFT LCD with ILI9341 SPI, OpenCV)

pi0.5 vision-language-action model fully fine-tuned on unified public SO-101 / SO-100 data

開源360度顯示器(樹莓派Pi Zero W + 6 ILI9225 8bit LCDs, QT, OpenCV)

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.

Real-time Pi0 deployment on Jetson Orin with FlashRT, TTC/async action scheduling, real-robot profiling, and visual residual control.

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.

Camera-input ablations of π0, π0.5, OpenVLA and SmolVLA on LIBERO-Spatial (blackout, frozen frame, noise, single camera), plus reproduction of five public robot-policy checkpoints in simulation.

Unofficial PyTorch reproduction for $π_0$: A Vision-Language-Action Flow Model for General Robot Control.

Team Dexterity: training pi0.5 (openpi, JAX) for the 2026 BEHAVIOR Challenge -- code, step-by-step guide, model and results