Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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[2512.19576] LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
Machine Learning

[2512.19576] LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller

Abstract page for arXiv paper 2512.19576: LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller

arXiv - AI · 4 min ·
[2511.14565] Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
Llms

[2511.14565] Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language

Abstract page for arXiv paper 2511.14565: Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language

arXiv - AI · 4 min ·
[2511.12882] Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos
Machine Learning

[2511.12882] Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos

Abstract page for arXiv paper 2511.12882: Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos

arXiv - AI · 4 min ·

All Content

[2508.05004] R-Zero: Self-Evolving Reasoning LLM from Zero Data
Llms

[2508.05004] R-Zero: Self-Evolving Reasoning LLM from Zero Data

The article presents R-Zero, a self-evolving reasoning LLM that autonomously generates training data, improving AI capabilities without h...

arXiv - Machine Learning · 4 min ·
[2507.12108] Multimodal Coordinated Online Behavior: Trade-offs and Strategies
Robotics

[2507.12108] Multimodal Coordinated Online Behavior: Trade-offs and Strategies

This paper explores multimodal coordinated online behavior, analyzing trade-offs between different integration strategies and their effec...

arXiv - Machine Learning · 4 min ·
[2503.22809] Data-Driven Worker Activity Recognition and Efficiency Estimation in Manual Fruit Harvesting
Machine Learning

[2503.22809] Data-Driven Worker Activity Recognition and Efficiency Estimation in Manual Fruit Harvesting

This study presents a data-driven system for recognizing worker activities and estimating efficiency in manual fruit harvesting, specific...

arXiv - Machine Learning · 4 min ·
[2510.23883] Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
Llms

[2510.23883] Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

This article explores the security implications of agentic AI systems, detailing specific threats, defense strategies, and evaluation met...

arXiv - AI · 3 min ·
[2510.07117] The Conditions of Physical Embodiment Enable Generalization and Care
Ai Agents

[2510.07117] The Conditions of Physical Embodiment Enable Generalization and Care

This paper explores how physical embodiment in artificial agents can enhance their ability to generalize and provide care in uncertain en...

arXiv - Machine Learning · 4 min ·
[2602.13156] In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
Llms

[2602.13156] In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach

This article presents a novel approach to network incident response using a large language model (LLM) that autonomously learns and adapt...

arXiv - AI · 4 min ·
[2602.13071] Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
Machine Learning

[2602.13071] Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic

This paper introduces MobTA, a novel approach for generating mobility trajectories without requiring real data from the target city, usin...

arXiv - Machine Learning · 4 min ·
[2602.13061] Diverging Flows: Detecting Extrapolations in Conditional Generation
Machine Learning

[2602.13061] Diverging Flows: Detecting Extrapolations in Conditional Generation

The paper introduces Diverging Flows, a method for detecting extrapolations in conditional generation models, enhancing safety in applica...

arXiv - Machine Learning · 3 min ·
[2602.12983] Detecting Object Tracking Failure via Sequential Hypothesis Testing
Machine Learning

[2602.12983] Detecting Object Tracking Failure via Sequential Hypothesis Testing

This paper presents a method for detecting object tracking failures using sequential hypothesis testing, enhancing safety in computer vis...

arXiv - AI · 4 min ·
[2602.12978] Learning Native Continuation for Action Chunking Flow Policies
Machine Learning

[2602.12978] Learning Native Continuation for Action Chunking Flow Policies

This paper presents Legato, a novel training-time continuation method for action chunking in Vision Language Action models, enhancing tra...

arXiv - AI · 3 min ·
[2602.12924] Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues
Robotics

[2602.12924] Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues

This article examines how the availability of knowledge influences the persuasiveness of generative social agents (GSAs) in physiotherapy...

arXiv - AI · 4 min ·
[2602.12917] Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment
Data Science

[2602.12917] Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment

This article presents a novel ultrasound-guided method for real-time 3D visualization of spinal motion to assess spinal instability, aimi...

arXiv - AI · 4 min ·
[2602.12902] Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions
Machine Learning

[2602.12902] Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions

This paper evaluates the robustness of object detection models used in autonomous vehicles under adverse weather conditions, proposing a ...

arXiv - Machine Learning · 4 min ·
[2602.12873] Knowledge-Based Design Requirements for Generative Social Robots in Higher Education
Llms

[2602.12873] Knowledge-Based Design Requirements for Generative Social Robots in Higher Education

The article explores design requirements for generative social robots in higher education, emphasizing the need for knowledge-based frame...

arXiv - AI · 3 min ·
[2602.12691] ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training
Machine Learning

[2602.12691] ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training

The paper presents ALOE, an action-level off-policy evaluation framework aimed at enhancing vision-language-action models through reinfor...

arXiv - AI · 4 min ·
[2602.12656] PMG: Parameterized Motion Generator for Human-like Locomotion Control
Robotics

[2602.12656] PMG: Parameterized Motion Generator for Human-like Locomotion Control

The PMG paper presents a novel Parameterized Motion Generator for humanoid locomotion, addressing challenges in adapting motion tracking ...

arXiv - AI · 3 min ·
[2602.12508] Monocular Reconstruction of Neural Tactile Fields
Machine Learning

[2602.12508] Monocular Reconstruction of Neural Tactile Fields

This paper presents a novel approach to robotic navigation using neural tactile fields, enabling robots to predict tactile responses from...

arXiv - AI · 3 min ·
[2602.12322] ForeAct: Steering Your VLA with Efficient Visual Foresight Planning
Machine Learning

[2602.12322] ForeAct: Steering Your VLA with Efficient Visual Foresight Planning

The paper presents ForeAct, a novel Visual Foresight Planning framework that enhances Vision-Language-Action (VLA) models by enabling the...

arXiv - AI · 4 min ·
[2602.12288] Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance
Robotics

[2602.12288] Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance

This paper presents an energy-aware reinforcement learning framework for robotic manipulation of articulated components in infrastructure...

arXiv - AI · 4 min ·
[2602.12285] From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
Llms

[2602.12285] From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness

This article examines how demographic-based persona assignments in large language models (LLMs) can impact agent performance, revealing v...

arXiv - AI · 3 min ·
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