GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation Paper • 2512.01801 • Published 5 days ago • 22
Running on CPU Upgrade Featured 2.53k The Smol Training Playbook 📚 2.53k The secrets to building world-class LLMs
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning Paper • 2506.06072 • Published Jun 6
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Paper • 2509.04996 • Published Sep 5 • 13
NaviTrace: Evaluating Embodied Navigation of Vision-Language Models Paper • 2510.26909 • Published Oct 30 • 13
World Simulation with Video Foundation Models for Physical AI Paper • 2511.00062 • Published Oct 28 • 40
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process Paper • 2511.01718 • Published Nov 3 • 6
NaviTrace: Evaluating Embodied Navigation of Vision-Language Models Paper • 2510.26909 • Published Oct 30 • 13
NaviTrace: Evaluating Embodied Navigation of Vision-Language Models Paper • 2510.26909 • Published Oct 30 • 13 • 1
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer Paper • 2509.16197 • Published Sep 19 • 56
FLOWER VLA Collection Collection of checkpoints for the FLOWER VLA policy. A small and versatile VLA for language-conditioned robot manipulation with less than 1B parameter • 10 items • Updated Sep 17 • 4
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Paper • 2509.04996 • Published Sep 5 • 13
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Paper • 2509.04996 • Published Sep 5 • 13 • 3