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A practical T-Rex guide: tactile-reactive VLA architecture, LeRobot v3.0 dataset path, training, inference, and benchmark results.

TurboVLA achieves 97.7% on LIBERO with 0.2B parameters, 31.2 ms latency, and 0.9 GB VRAM on RTX 4090 — no LLM needed. Full guide: install, train, evaluate, and

A practical guide to LoRA fine-tuning DM0.5 for SO101 Pick Cube, from OpenDM setup to training, inference, and RoboTwin2.0 evaluation.

FM-VLA compresses force/torque history into compact tokens via VAE, letting VLAs count contacts and track interaction progress — 83.3% success on AgiBot G1.

A technical guide to RL²-VLA: steering VLA manipulation policies via offline RL in latent space at test time, gaining +26% real-robot success without retraining

ICLR 2026: InstructVLA uses VLA-IT + MoE LoRA for manipulation policies understanding complex instructions, beating OpenVLA by +96% on SimplerEnv-Instruct.

A practical guide to Pelican-VLA 0.5, Bottleneck Tokens, LeRobot 3.0 data, training recipe, inference, and RoboTwin results.

ResVLA (ICML 2026): using Residual Diffusion Bridge to anchor VLA policies from intent, reducing noise and improving robustness for robot manipulation.

A beginner guide to AXIS: collect manipulation data with browser teleoperation, clean it, and fine-tune π0.5 with OpenPI.

A hands-on guide to VLA-Corrector: adaptive action horizons, LVM, OGG, LeRobot setup, training, inference, and results.

Deploy guide for Robo-ValueRL — X-Humanoid's open-source framework that integrates value estimation into VLA-RL to achieve millimeter-precision on real-world ma

How to use Robometer, TOPReward reward models, lerobot-eval CLI with 6 new benchmarks, and DAgger to close the RL loop for manipulation VLA in LeRobot v0.6.