Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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[2601.07855] RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Machine Learning

[2601.07855] RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution

Abstract page for arXiv paper 2601.07855: RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution

arXiv - AI · 3 min ·
[2502.00262] INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation
Llms

[2502.00262] INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation

Abstract page for arXiv paper 2502.00262: INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Ha...

arXiv - AI · 4 min ·
[2508.00500] ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
Llms

[2508.00500] ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety

Abstract page for arXiv paper 2508.00500: ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety

arXiv - AI · 4 min ·

All Content

[2602.02960] Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control
Robotics

[2602.02960] Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control

Abstract page for arXiv paper 2602.02960: Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control

arXiv - Machine Learning · 4 min ·
[2511.17649] SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios
Machine Learning

[2511.17649] SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Abstract page for arXiv paper 2511.17649: SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scen...

arXiv - AI · 4 min ·
[2510.13358] Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
Machine Learning

[2510.13358] Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control

Abstract page for arXiv paper 2510.13358: Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control

arXiv - AI · 3 min ·
[2510.00060] Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
Llms

[2510.00060] Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving

Abstract page for arXiv paper 2510.00060: Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving

arXiv - AI · 4 min ·
[2509.25249] BEV-VLM: Trajectory Planning via Unified BEV Abstraction
Llms

[2509.25249] BEV-VLM: Trajectory Planning via Unified BEV Abstraction

Abstract page for arXiv paper 2509.25249: BEV-VLM: Trajectory Planning via Unified BEV Abstraction

arXiv - AI · 3 min ·
[2509.22353] Context and Diversity Matter: The Emergence of In-Context Learning in World Models
Machine Learning

[2509.22353] Context and Diversity Matter: The Emergence of In-Context Learning in World Models

Abstract page for arXiv paper 2509.22353: Context and Diversity Matter: The Emergence of In-Context Learning in World Models

arXiv - Machine Learning · 4 min ·
[2508.12412] LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
Llms

[2508.12412] LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems

Abstract page for arXiv paper 2508.12412: LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi...

arXiv - AI · 4 min ·
[2508.11143] Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
Robotics

[2508.11143] Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward

Abstract page for arXiv paper 2508.11143: Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon ...

arXiv - AI · 4 min ·
[2602.23934] Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
Robotics

[2602.23934] Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans

Abstract page for arXiv paper 2602.23934: Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans

arXiv - Machine Learning · 3 min ·
[2602.23871] Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles
Nlp

[2602.23871] Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles

Abstract page for arXiv paper 2602.23871: Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles

arXiv - Machine Learning · 4 min ·
[2602.23524] V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space
Machine Learning

[2602.23524] V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space

Abstract page for arXiv paper 2602.23524: V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space

arXiv - Machine Learning · 4 min ·
[2501.16609] CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation
Machine Learning

[2501.16609] CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation

Abstract page for arXiv paper 2501.16609: CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation

arXiv - AI · 4 min ·
[2602.23467] On the Limits of Interpretable Machine Learning in Quintic Root Classification
Machine Learning

[2602.23467] On the Limits of Interpretable Machine Learning in Quintic Root Classification

Abstract page for arXiv paper 2602.23467: On the Limits of Interpretable Machine Learning in Quintic Root Classification

arXiv - Machine Learning · 4 min ·
[2602.24235] SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems
Llms

[2602.24235] SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems

Abstract page for arXiv paper 2602.24235: SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems

arXiv - AI · 3 min ·
[2602.24138] Multimodal Optimal Transport for Unsupervised Temporal Segmentation in Surgical Robotics
Machine Learning

[2602.24138] Multimodal Optimal Transport for Unsupervised Temporal Segmentation in Surgical Robotics

Abstract page for arXiv paper 2602.24138: Multimodal Optimal Transport for Unsupervised Temporal Segmentation in Surgical Robotics

arXiv - AI · 4 min ·
[2602.24142] CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning
Robotics

[2602.24142] CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning

Abstract page for arXiv paper 2602.24142: CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning

arXiv - AI · 3 min ·
[2602.24096] DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
Generative Ai

[2602.24096] DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer

Abstract page for arXiv paper 2602.24096: DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online D...

arXiv - Machine Learning · 4 min ·
[2602.24182] Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers
Llms

[2602.24182] Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers

Abstract page for arXiv paper 2602.24182: Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collabora...

arXiv - Machine Learning · 4 min ·
[2602.23997] Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments
Machine Learning

[2602.23997] Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments

Abstract page for arXiv paper 2602.23997: Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environ...

arXiv - Machine Learning · 4 min ·
[2602.23804] Actor-Critic Pretraining for Proximal Policy Optimization
Machine Learning

[2602.23804] Actor-Critic Pretraining for Proximal Policy Optimization

Abstract page for arXiv paper 2602.23804: Actor-Critic Pretraining for Proximal Policy Optimization

arXiv - Machine Learning · 3 min ·
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