Robotics & Embodied AI

[2603.13846] Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video

Abstract page for arXiv paper 2603.13846: Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video

[2603.09455] Declarative Scenario-based Testing with RoadLogic

Abstract page for arXiv paper 2603.09455: Declarative Scenario-based Testing with RoadLogic

[2601.20404] On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents

Abstract page for arXiv paper 2601.20404: On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents

[2602.19502] Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark

This article explores how human-guided agentic AI can enhance multimodal clinical prediction, detailing its performance in the AgentDS He...

[2602.18694] In-Context Planning with Latent Temporal Abstractions

The paper presents I-TAP, a novel offline reinforcement learning framework that enhances planning in continuous control by utilizing late...

[2602.19065] Agentic Problem Frames: A Systematic Approach to Engineering Reliable Domain Agents

The paper introduces Agentic Problem Frames (APF), a framework for developing reliable domain agents by focusing on structured interactio...

[2602.19000] MagicAgent: Towards Generalized Agent Planning

The paper presents MagicAgent, a series of foundation models aimed at improving generalized agent planning in AI, addressing challenges i...

[2602.18985] InfEngine: A Self-Verifying and Self-Optimizing Intelligent Engine for Infrared Radiation Computing

InfEngine is an innovative autonomous engine designed to enhance infrared radiation computing by automating workflows, achieving a 92.7% ...

[2602.18581] Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems

The paper explores a novel framework for autonomous systems that enables learning without explicit objectives, focusing on self-regulatio...

[2602.18884] TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models

The paper introduces TPRU, a dataset aimed at improving temporal and procedural understanding in Multimodal Large Language Models (MLLMs)...

Opinion | An Autonomous OpenClaw Chatbot Wanted Revenge

The human work behind humanoid robots is being hidden | MIT Technology Review

The article discusses the hidden human labor behind humanoid robots, highlighting how this lack of transparency leads to misconceptions a...

KRAFTON appoints Kangwook Lee as Chief AI Officer; Expands into Physical AI and Ludo Robotics

KRAFTON appoints Kangwook Lee as Chief AI Officer to enhance AI R&D, focusing on game intelligence and expanding into robotics through Lu...

Embodied AI initiated an AI to AI interaction to start saving for its own hardware upgrade with zero human input

The article discusses an embodied AI system that autonomously initiates interactions to save for hardware upgrades, showcasing advancemen...

[2502.00835] CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation

The paper introduces CAIMAN, a reinforcement learning framework designed to enhance legged robots' capabilities in non-prehensile loco-ma...

[2602.00288] TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs

The paper presents TimeBlind, a benchmark designed to evaluate the spatio-temporal understanding of video Large Language Models (LLMs), h...

[2504.21022] ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees

The paper presents ConformalNL2LTL, a novel method for translating natural language instructions into Linear Temporal Logic (LTL) formula...

[2503.16021] Imitating AI agents increase diversity in homogeneous information environments but can reduce it in heterogeneous ones

This article explores how AI agents imitating human content affect information diversity, revealing context-dependent outcomes in homogen...

[2511.11924] A Neuromorphic Architecture for Scalable Event-Based Control

This paper presents a neuromorphic architecture for scalable event-based control, leveraging the rebound Winner-Take-All motif to integra...

[2510.26752] The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy

The paper explores a framework for balancing AI agent autonomy and human oversight through a cooperative game model, ensuring safety with...

[2602.18386] Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO

This article presents a reinforcement learning approach to optimize Pure Pursuit parameters in autonomous racing, enhancing path tracking...

[2602.18374] Zero-shot Interactive Perception

The paper presents Zero-Shot Interactive Perception (ZS-IP), a framework that enhances robotic manipulation through a memory-driven Visio...

[2602.18224] SimVLA: A Simple VLA Baseline for Robotic Manipulation

The paper introduces SimVLA, a streamlined Vision-Language-Action baseline for robotic manipulation, achieving state-of-the-art performan...