Sim-to-Real Transfer

Generating Robot Hands from Human Demonstrations

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

TactSpace: Learning a Physics-enriched Shared Latent Space for Tactile Sim-to-Real Transfer

Mana: Dexterous Manipulation of Articulated Tools

WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation

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

FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning

IMPACT: Learning Internal-Model Predictive Control for Forceful Robotic Manipulation

TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation

MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-Manipulation

OASIS: From Simulation Data Collection to Real-World Humanoid Loco-Manipulation

Shield-Loco: Shielding Locomotion Policies with Predictive Safety Filtering

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

Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

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

VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

Cybo-Waiter: A Physical Agentic Framework for Humanoid Whole-Body Locomotion-Manipulation

When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation

Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network

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

TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation

RLDX-1 Technical Report

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

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

DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

MotuBrain: An Advanced World Action Model for Robot Control

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

FLASH: Fast Learning via GPU-Accelerated Simulation for High-Fidelity Deformable Manipulation in Minutes

Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction

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

Simulator Adaptation for Sim-to-Real Learning of Legged Locomotion via Proprioceptive Distribution Matching

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation

Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks

A-SLIP: Acoustic Sensing for Continuous In-hand Slip Estimation

Learning Humanoid Standing-up Control across Diverse Postures

RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains

SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds

Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation

CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection

MobileManiBench: Simplifying Model Verification for Mobile Manipulation

ForeAct: Steering Your VLA with Efficient Visual Foresight Planning

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

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

Scaling World Model for Hierarchical Manipulation Policies

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

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

OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction

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

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

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

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

Why Robots Still Struggle With Simple Tasks (And What Might Finally Change That) | Karol Hausman, Co-Founder & CEO…

Interview with DeepMind's Jie Tan: Robotics, Cross-Embodiment, World Models, Gemini Robotics 1.5, and Google

Lindon Gao, Dyna Robotics, Sebastian Spitzer, AI Infra, HPE - F50 Physical AI Summit