Imitation Learning

Generating Robot Hands from Human Demonstrations

Do as I Do: Dexterous Manipulation Data from Everyday Human Videos

Improving Robotic Generalist Policies via Flow Reversal Steering

Mana: Dexterous Manipulation of Articulated Tools

WT-UMI: Tactile-based Whole-Body Manipulation via Force-Supervised Contact-Aware Planning

CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy

LARA: Latent Action Representation Alignment for Vision-Language-Action Models

OneVLA: A Unified Framework for Embodied Tasks

FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization

GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models

RDGen: Demonstration Generation for High-Quality Robot Learning via Reinforcement Learning

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models

FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies

Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation

When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation

RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization

Imagine2Real: Towards Zero-shot Humanoid-Object Interaction via Video Generative Priors

Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving

PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction

MolmoAct2: Action Reasoning Models for Real-world Deployment

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model

Eric Jang – Building AlphaGo from scratch

Offline Semantic Guidance for Efficient Vision-Language-Action Policy Distillation

CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios

What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models

$\Delta$VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation

Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models

R3D: Revisiting 3D Policy Learning

Switch: Learning Agile Skills Switching for Humanoid Robots

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies

Learning Versatile Humanoid Manipulation with Touch Dreaming

HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation

Action Images: End-to-End Policy Learning via Multiview Video Generation

Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models

Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models

Functional Force-Aware Retargeting from Virtual Human Demos to Soft Robot Policies

Learning Humanoid Navigation from Human Data

SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision

Coordinated Humanoid Manipulation with Choice Policies

OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies

Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization

ST4VLA: Spatially Guided Training for Vision-Language-Action Models

Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining

SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control

DualCoT-VLA: Visual-Linguistic Chain of Thought via Parallel Reasoning for Vision-Language-Action Models

UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models

OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation

How End-to-End Learning Created Autonomous Driving 2.0: Wayve CEO Alex Kendall

#38 Karol Hausman & Kevin Black: Building A Brain For Any Robot | AI Eating The Physical World

【BAAI2025】 Building Physical Intelligence | Karol Hausman