Models

Research

Robot manipulation model resources from the Allen Institute for AI.

Research

InternNav provides a platform for developing navigation foundation models.

Research

DayDreamer provides world-model methods for physical robot learning.

Research

A video-action model research project for robotic control.

Research

Object-pose estimation research tools for robotic perception.

Research

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence

Research

GraspVLA provides grasping-model research pretrained with synthetic action data.

Research

Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies

Research

🔥 SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes. Accepted at RSS 2025.

Research

official implementation for our paper Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance (CoRL 2024)

Research

Official code for MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Research

BAAI UniVLA provides a unified vision-language-action model research project.

Research

Official implementation of the paper: "PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System"

Research

UniAct studies universal action representations for embodied foundation models.

Research

Natural Locomotion, Jumping and Recovery of Quadruped Robot A1 with AMP

Research

X-VLA studies soft-prompted transformers for cross-embodiment vision-language-action learning.

Research

HiMoE-VLA studies hierarchical mixture-of-experts policies for vision-language-action learning.

Research

DreamDojo studies robot world models learned from human video data.

Research

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Research

SimpleVLA-RL provides reinforcement-learning training resources for VLA policies.

Research

VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

Research

VLA-RL provides reinforcement-learning code for adapting VLA models to robotic manipulation.

Research

LingBot-VLA provides a vision-language-action foundation-model project.

Research

FOCA studies future-oriented conditioning for data-efficient VLA adaptation.