Imitation Learning

Inside the Robot Data Factory: Mecka's Josh Gao on Sensorizing Humans to Train Robots

A Phenomenology of Neural Geometry in Vision-Language-Action Models

Causal Analysis of Robot Foundation Models Enables Efficiency Gains

CoDA: Co-Evolution of Data Engines and Action Policies

Value as Memory: Online Value-Guided Post-training for General Robot Policies

When Do Discrete Actions Make Good Continuous Controllers?

SAVLA: Symmetry-Aware Vision-Language-Action Models for Robotic Manipulation

Chronos Policy: Learning Robot Policies on Physical Time

ARC: A Reasoning Recipe for Robot Foundation Models

DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training

VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation

VioLA: Learning Generalist Humanoid Control Policies from Human Data

Long-WAM: Scaling the Context of World-Action Models

RoboJEPA: Scaling Robotic Latent World Models

EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning

H-VLA: Hierarchical Vision-Language-Action Model with Key-Action Reasoning and Motion Planning in a Unified Action Space

CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video

GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation

World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories

ECoMEM: Explicit Concept Memory for Memory-Dependent Robot Control

SplineWAM: Adaptive Action Horizons for World Action Models via B-Spline Representations

Counterfactual Video Generation Enables Scalable Humanoid Loco-Manipulation

Rho: A Foundation for Efficiently Adaptable VLA Models

DexAgent: An Agentic Human2Sim2Robot Framework for Dexterous Manipulation with Self-Evolving Tool Library

Where Memory Belongs: Ledger, an Object Ledger for Memory-Augmented VLAs

MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control

InternW0-Δ: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data

RAPID: Robot Agentic Programming from Demonstrations

Self-Adaptive VLA for Robust Robot Deployment

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control

DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation

JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation

Learning Beyond What Humans Can Demonstrate

Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies

GALA: Geometry-Aware Latent Action Modeling for Vision-Language-Action Model Pretraining across Embodiments

RobotMover: Learning to Move Large Objects From Human Demonstrations

Compliance for Free: Learning Identifiable Impedance via Bilateral Teleoperation

HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface

Recovering Aggressively Pruned Vision-Language-Action Models with Offline Hidden-State Distillation

Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision

Evidence-Gated Task and Motion Planning with Vision-Language Models

Teach and Grow: An Agent-Centered Architecture for General Robot Learning

ViBe: Visual Behavior Adaptation for Perceptive Humanoid Whole-Body Control

Towards Human-like Physical Intelligence: Lifelong Vision-Language-Action Learning for Robotic Manipulation

ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models

Learning to infer and manipulate through distributed whole-arm interaction in a soft robot

Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections

WISE: World-model-guided Imagination Scheduling for Efficient Post-training of Vision-Language-Action Models

CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators

GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation

Riemann-1.0: An Embodied World Action Model for Physical AI

TemporalFlow-VLA: Learning Physically Grounded Execution History for Long-Horizon Robot Manipulation

One Policy, Many Embodiments: Unified Camera-Centric Action Geometry Pre-training for Heterogeneous Embodied Manipulation

TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks

Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning

DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation

EXIMO: VLM Guided Exploration of VLA Policies

Video2DoorTraversal: Push Door Traversal via Simulated Door Twins

ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning

PRISM: Precision and contact-rich Real-world Industrial Skill dataset with Multimodal sensing

StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models

Revisiting Open-Loop Execution in Robotics: Toward Reactive, Higher-Performing Policies

Reflex: Enabling Fast and Predictive Vision-Language-Action Models for Reaction-Critical Manipulation

Chelsea Finn: This is the State of the Art in Robotics

Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning

SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments

Adaptation of Generalist Robot Policies with Minimal Data

XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action Driving

ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models

ω-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation

GORDON: Graph-based Object-centric Rewards for Decomposition of Long-Horizon Manipulation

RoboReact: Agentic Skill Distillation from Generated Egocentric Videos for Generalizable Whole-Body Manipulation

SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation

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ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

Reeling It In: Flexible Needle Pick Up via Thread Manipulation for Autonomous Suturing

WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning

DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation

N0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation

AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids

Exp2VLA: Enabling Vision-Language-Action for Drone Navigation from Expert Demonstrations

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation

Masked Visual Actions for Unified World Modeling

RoboTTT: Context Scaling for Robot Policies

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VIA: Visual Interface Agent for Robot Control

VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment

B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations

DemoBridge: A Simulation-in-the-Loop Toolkit for Single-View Human Demonstration Retargeting

AnyDexRT: Calibration-Free Dexterous Hand Retargeting with Few-Shot Human Guidance

ContactMimic: Humanoid Object Interaction via Contact Control

Native Video-Action Pretraining for Generalizable Robot Control

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation

SILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable Routing

In-Context World Modeling for Robotic Control

Decoupling the Declarative from the Procedural in Vision-Language-Action Models

Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models

Adapting Generalist Robot Policies with Semantic Reinforcement Learning

Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments

TactX: Learning Shared Tactile Representations Across Diverse Sensors

Humanoid-DART: Humanoid Loco-Manipulation using Diffusion-guided Augmentation through Relabeling and Tracking

Scalable Behavior Cloning with Open Data, Training, and Evaluation

ForceBand: Learning Forceful Manipulation with sEMG

InSight: Self-Guided Skill Acquisition via Steerable VLAs

Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering

PanoVine: Whole-Body Visuomotor Control for Soft Growing Vine Robot

HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning

OpenHLM: An Empirical Recipe for Whole-Body Humanoid Loco-Manipulation

Co-VLA: Coordination-Aware Structured Action Modeling for Dual-Arm Vision-Language-Action Systems

Generating Robot Hands from Human Demonstrations

Pose6DAug: Physically Plausible Multi-view Object Swapping for Robot Data Augmentation

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

Raj Patel — Inside Human Archive (humanarchive.ai)

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

Brett Adcock (Figure) on the First 8-Hour Autonomous Shift

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

Sergey Levine — The Robot Revolution Nobody Is Talking About

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

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