TCRL@ICRA

Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing

DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation

Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks

Language-Guided Dexterous Functional Grasping by LLM Generated Grasp Functionality and Synergy for Humanoid Manipulation (I)

Learning Location-Specific Latent Behavior Priors for Occupancy Prediction in Automated Driving

CLF-RL: Control Lyapunov Function Guided Reinforcement Learning

Learning Constraint-Aware Dynamical Systems from Human Demonstrations for Constrained Manipulation Tasks

LLM Trainer: Automated Robotic Data Generating Via Demonstration Augmentation Using LLMs

TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned from LLM-Generated Demonstrations

DAPPER: Discriminability-Aware Policy-To-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition

What Matters in Learning a Zero-Shot Sim-To-Real RL Policy for Quadrotor Control? a Comprehensive Study

Latent Action Diffusion for Cross-Embodiment Manipulation

Seeing Motion, Generating Action: Explicit Motion-Aware Policy for Robotic Action Generation

Zero-Shot Exocentric Viewpoint-Robust Imitation Learning (VIL): Bridging Handheld Gripper and Exocentric Views

Behavior Foundation Model for Humanoid Robots

SOE: Sample-Efficient Robot Policy Self-Improvement Via On-Manifold Exploration

From Dream to Action: Hierarchical Policy Learning with 3D World Imagination for Robotic Manipulation

Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation

Robot Crash Course: Learning Soft and Stylized Falling

Learning on the Fly: Rapid Policy Adaptation Via Differentiable Simulation

Real-World Robot Control by Deep Active Inference with a Temporally Hierarchical World Model

Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale

Rapid Robot Manipulation Policy Learning Via Hierarchical Foundation-Model Prior Distillation

Reinforcement Learning for Stair Locomotion of a Wheeled Bipedal Robot with Contact-Guided Behavior Cloning

Toward Human Preference Optimization for Vision-Language-Action Models: A Pilot Study on the Limits of Imitation Learning

Learning Contact Tasks Skills Based on DMP and Affordance Templates

Learning Traversability Cost Maps with Decomposed Uncertainties Via Continuous-State MEDIRL

Agile Collision Avoidance for Deformable-Tethered Multi-Robot Systems Via Zone-Aware Hierarchical Learning and VLM-Guided Control

Enhancing VLA Precision in Robotic Manipulation Via FiLM-Based Force/Torque-Vision Integration

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning

Unlocking the Potential of Soft Actor-Critic for Imitation Learning

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Inference-Stage Adaptation-Projection Strategy Adapts Diffusion Policy to Cross-Manipulators Scenarios

SCOOP'D: Learning Mixed-Liquid-Solid Scooping Via Sim2Real Generative Policy

Viper: Verifiable Imitation Learning Policy for Efficient Robotic Manipulation

Enhancing Classical Motion Planners Using RL with Safety Guarantees

History-Aware Visuomotor Policy Learning Via Point Tracking

ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions

Residual Off-Policy RL for Finetuning Behavior Cloning Policies

JuggleRL: Mastering Ball Juggling with a Quadrotor Via Deep Reinforcement Learning

NaviGait: Navigating Dynamically Feasible Gait Libraries Using Deep Reinforcement Learning

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

AURA: Autonomous Upskilling with Retrieval-Augmented Agents

Implicit Maximum Likelihood Estimation for Real-Time Generative Model Predictive Control

An Alignment-Based Approach to Learning Motions from Demonstrations

NavGSim: High-Fidelity Gaussian Splatting Simulator for Large-Scale Navigation

Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-To-End Autonomous Driving

Augmented Reality for RObots (ARRO): Pointing Visuomotor Policies towards Visual Robustness

An Efficient Learning-Based Task Planning Approach Using a Bio-Inspired Action Context-Free Grammar for Bimanual Manipulation

GLaMP: A Grounded Language Model-Based Multi-Agent System for Long-Horizon Robotic Task Planning in Industrial Settings

Learning from Demonstrations Over Riemannian Manifolds Using Neural ODEs

GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks

Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-Language Models

FP3: A 3D Foundation Policy for Robotic Manipulation

Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning

Uncertainty Comes for Free: Human-In-The-Loop Policies with Diffusion Models

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation

KISS-IMU: Self-Supervised Inertial Odometry with Motion-Balanced Learning and Uncertainty-Aware Inference

ArthroCut: Autonomous Policy Learning for Robotic Bone Resection in Knee Arthroplasty

Agile in the Face of Delay: Asynchronous End-To-End Learning for Real-World Aerial Navigation

Human2Nav: Learning Crowd Navigation from Human Videos across Robots Via Feasibility-Guided Flow Matching

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning

Shifted Flow Policy: Uncertainty-Aware Time Reparameterization for Visuomotor Learning

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

EMMA: Scaling Mobile Manipulation Via Egocentric Human Data

Better Than Diverse Demonstrators: Reward Decomposition from Suboptimal and Heterogeneous Demonstrations

GRAM: Generalization in Deep RL with a Robust Adaptation Module

VGC-RIO: A Tightly Integrated Radar-Inertial Odometry with Spatial Weighted Doppler Velocity and Local Geometric Constrained RCS Histograms

Mixture-Of-Experts Policy for Smooth and Stable Multi-Posture Fall Recovery in Bipedal Robot

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos

TOLEBI: Learning Fault-Tolerant Bipedal Locomotion Via Online Status Estimation and Fallibility Rewards

DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction Via Guided Diffusion

Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain

Learning Humanoid Arm Motion Via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning

MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies

Robust Online Residual Refinement Via Koopman-Guided Dynamics Modeling

SVP: Improving Vision-Language-Action Models with Dual Stochastic Visual Prompting

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

ACG: Action Coherence Guidance for Flow-Based Vision-Language-Action Models

Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies

Placeit! a Framework for Learning Robot Object Placement Skills

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution

MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery

MoRe-ERL: Learning Motion Residuals Using Episodic Reinforcement Learning

Beyond the Majority: Long-Tail Imitation Learning for Robotic Manipulation

Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness

VO-DP: Semantic-Geometric Adaptive Diffusion Policy for Vision-Only Robotic Manipulation

Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning

Adaptive Motion Priors with Constrained Optimization

Hierarchical LLM-VLA-Controller Integration for Task Generalization

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning

EDAIL: Adversarial Imitation Learning Via Exploration-Driven Data Augmentation

HAND Me the Data: Fast Robot Adaptation Via Hand Path Retrieval

TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations

Flow before Imitation: Learning Dexterous In-Hand Manipulation with Dynamic Visuotactile Shortcut Policy

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7

Learning-Based Observer for Coupled Disturbance

EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos

ExpReS-VLA: Specializing Vision-Language-Action Models through Experience Replay and Retrieval

Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning

Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability

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

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data

Diffusion Trajectory-Guided Policy for Long-Horizon Robot Manipulation

Beyond Domain Randomization: Safety Certificates for Reinforcement Learning

Reward-Free Continual Adaptation for Resilient Space Robots

Dexora: Open-Source VLA for High-DoF Bimanual Dexterity

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

ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation

URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting

Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning

Deep Sensorimotor Control by Imitating Predictive Models of Human Motion

ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning

TADPO: Reinforcement Learning Goes Off-Road

Learning Problem Decomposition for Efficient Sequential Multi-Object Manipulation Planning

Motion Generation for Modular Robots Using Hierarchical Policies

Factorizing Diffusion Policies for Observation Modality Prioritization

End-To-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System

Whole-Body Safe Control of Robotic Systems with Koopman Neural Dynamics

Localized Graph-Based Neural Dynamics Models for Terrain Manipulation

GRAPE: Generalizing Robot Policy Via Preference Alignment

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning Via Normalizing Flows

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning

AutoFocus-IL: VLM-Based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations

Enhancing Robot Learning through Cognitive Reasoning Trajectory Optimization under Unknown Dynamics

Motion before Action: Diffusing Object Motion As Manipulation Condition

DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands from Third-Person Human Videos

Refinery: Active Fine-Tuning and Deployment-Time Optimization for Contact-Rich Policies

Teaching to Individual Needs: Bidirectional Teacher-Student Learning for Wheeled-Legged Locomotion

Generative Adversarial Imitation Learning for Robot Swarms: Learning from Human Demonstrations and Trained Policies

Learning Affordances at Inference-Time for Vision-Language-Action Models

Knowledge-Based Locomotion Policy for Quadruped Robots under Incomplete Terrain Observation

Knowledge Synthesis in Dynamic Human-Swarm Interactions Using LLMs

Risk-Aware Control of Tendon-Driven Continuum Robots Via CVaR-MPPI with Residual Learning for Hysteresis Compensation : A Pilot Study

WorldPlanner: Monte Carlo Tree Search and MPC with Action-Conditioned Visual World Models

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations

Multimodal Variational DeepMDP: An Efficient Approach for Industrial Assembly in High-Mix, Low-Volume Production

The Better You Learn, the Smarter You Prune: Towards Efficient Vision-Language-Action Models Via Differentiable Token Pruning

DA-MMP: Learning Coordinated and Accurate Throwing with Dynamics-Aware Motion Manifold Primitives

Learning Task-Invariant Properties Via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots

ManipForce: Force-Guided Policy Learning with Frequency-Aware Representation for Contact-Rich Manipulation

HoMeR: Learning In-The-Wild Mobile Manipulation Via Hybrid Imitation and Whole-Body Control

Using Non-Expert Data to Robustify Imitation Learning Via Offline Reinforcement Learning

Vision-Based Policy Learning for High-Speed Autonomous Racing

Cross-Embodiment Imitation: Learning a Unified Latent Space for Multi-Robot Control

Robust Robot Navigation through Failure-Aversion Learning

Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation

Flip Stunts on Bicycle Robots Using Iterative Motion Imitation

Diffusion Policy for Robot-Assisted Dressing with Moving Human Arms

Heterogeneous Skill Learning for Asynchronous Multi-Robot Relay Pushing in Complex Environments