Evaluation of the Benefits of Zero Velocity Update in Decentralized EKF-Based Cooperative Localization Algorithms for GNSS-Denied Multi-Robot Systems

FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation

DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs

SENSE: Stereo OpEN Vocabulary SEmantic Segmentation

Continual Hand-Eye Calibration for Open-world Robotic Manipulation

PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding

GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow

GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology

$π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

R3D: Revisiting 3D Policy Learning

Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees

Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios

NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

HRDexDB: A Large-Scale Dataset of Dexterous Human and Robotic Hand Grasps

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

Efficient closed-form approaches for pose estimation using Sylvester forms

World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems

A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning

CooperDrive: Enhancing Driving Decisions Through Cooperative Perception

SpaceMind: A Modular and Self-Evolving Embodied Vision-Language Agent Framework for Autonomous On-orbit Servicing

HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System

UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot

Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents

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

ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation

Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization

Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning

RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment

RobotPan: A 360$^\circ$ Surround-View Robotic Vision System for Embodied Perception

Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics

GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses

4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview

Multi-modal panoramic 3D outdoor datasets for place categorization

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions

Solving Physics Olympiad via Reinforcement Learning on Physics Simulators

StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems

Grounded World Model for Semantically Generalizable Planning

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving

Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems

AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation

Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech

Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot

Learning to Forget -- Hierarchical Episodic Memory for Lifelong Robot Deployment

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems

Federated Single-Agent Robotics: Multi-Robot Coordination Without Intra-Robot Multi-Agent Fragmentation

Robust Adversarial Policy Optimization Under Dynamics Uncertainty

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence

Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction

RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies

ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models

PhysInOne: Visual Physics Learning and Reasoning in One Suite

C$^2$T: Captioning-Structure and LLM-Aligned Common-Sense Reward Learning for Traffic--Vehicle Coordination

WOMBET: World Model-Based Experience Transfer for Robust and Sample-efficient Reinforcement Learning

Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

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

Towards Generalizable Robotic Manipulation in Dynamic Environments

General-purpose LLMs as Models of Human Driver Behavior: The Case of Simplified Merging

Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters

IROSA: Interactive Robot Skill Adaptation using Natural Language

Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders

Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities

MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation

From Instruction to Event: Sound-Triggered Mobile Manipulation

Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control

Enhanced-FQL($λ$), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making

Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?

Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis

Towards Deploying VLA without Fine-Tuning: Plug-and-Play Inference-Time VLA Policy Steering via Embodied Evolutionary Diffusion

Volumetric Ergodic Control

RoboTAG: End-to-end Robot Configuration Estimation via Topological Alignment Graph

TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research

Multimodal Diffusion Forcing for Forceful Manipulation

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

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

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

AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance

Multi-Modal Manipulation via Multi-Modal Policy Consensus

AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving

Constrained Decoding for Safe Robot Navigation Foundation Models

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving

LLM-based Realistic Safety-Critical Driving Video Generation

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents

Learning to Play Piano in the Real World

Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration

Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar

Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI

Convex Hulls of Reachable Sets

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