AI Agents & Automation

arXiv:2604.03303v1 Announce Type: cross Abstract: We introduce a probabilistic diffusion-based method for global atmospheric downscaling implemented within the

arXiv:2604.03330v1 Announce Type: cross Abstract: For digital infrastructure to be safe, compatible, and standards-aligned, automated communication protocol com

arXiv:2604.03333v1 Announce Type: cross Abstract: Symbolic music generation has made significant progress, yet achieving fine-grained and flexible control over

arXiv:2604.03350v1 Announce Type: cross Abstract: Systematic exploration of Agent-Based Models (ABMs) is challenged by the curse of dimensionality and their inh

arXiv:2604.03400v1 Announce Type: cross Abstract: The multi-step, iterative image editing capabilities of multi-modal agentic systems have transformed digital c

arXiv:2604.03409v1 Announce Type: cross Abstract: Generative artificial intelligence offers a new paradigm to design matter in high-dimensional spaces. However,

arXiv:2604.03425v1 Announce Type: cross Abstract: Fully Homomorphic Encryption (FHE) enables privacy-preserving Transformer inference, but long-sequence encrypt

arXiv:2604.03486v1 Announce Type: cross Abstract: We present VisionClaw, an always-on wearable AI agent that integrates live egocentric perception with agentic

arXiv:2604.03515v1 Announce Type: cross Abstract: LLM-based coding agents can localize bugs, generate patches, and run tests with diminishing human oversight, y

arXiv:2604.03523v1 Announce Type: cross Abstract: Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually

arXiv:2604.03552v1 Announce Type: cross Abstract: Bimanual robot learning from demonstrations is fundamentally limited by the cost and narrow visual diversity o

arXiv:2604.03605v1 Announce Type: cross Abstract: We study online task allocation for multi-robot, multi-queue systems with asymmetric stochastic arrivals and s

arXiv:2604.03649v1 Announce Type: cross Abstract: Accurate prediction of real-world pedestrian trajectories is crucial for a wide range of robot-related applica

arXiv:2604.03710v1 Announce Type: cross Abstract: Graph signal processing (GSP) is becoming a major tool in biomedical signal and image analysis. In most GSP te

arXiv:2604.03715v1 Announce Type: cross Abstract: The Augmented Human vision broadly seeks to improve or expand baseline human functioning through the restorati

arXiv:2604.03759v1 Announce Type: cross Abstract: Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central ch

arXiv:2604.03883v1 Announce Type: cross Abstract: Effective ride-hailing dispatch requires anticipating demand patterns that vary substantially across time-of-d

arXiv:2604.03897v1 Announce Type: cross Abstract: We present a telecom-native auction mechanism for allocating bandwidth and time slots across heterogeneous-del

arXiv:2604.03905v1 Announce Type: cross Abstract: Heterogeneity is a defining feature of deployed multi-robot teams: platforms often differ in sensing modalitie

arXiv:2604.03955v1 Announce Type: cross Abstract: When autonomous agents observe different domains of a shared environment, each signal they exchange mixes rele

arXiv:2604.03968v1 Announce Type: cross Abstract: AI control protocols use monitors to detect attacks by untrusted AI agents, but standard single-score monitors

arXiv:2604.04078v1 Announce Type: cross Abstract: Cardiac magnetic resonance (CMR) is a cornerstone for diagnosing cardiovascular disease. However, it remains u

arXiv:2604.04138v1 Announce Type: cross Abstract: Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then ex

arXiv:2604.04194v1 Announce Type: cross Abstract: Automated decision-making is becoming key for automated characterization including electron and scanning probe

arXiv:2604.04196v1 Announce Type: cross Abstract: Evolutionary Robotics and Robot Learning are two fields in robotics that aim to automatically optimize robot d

arXiv:2604.04202v1 Announce Type: cross Abstract: AI agents deployed as persistent assistants must maintain correct beliefs as their information environment evo

arXiv:2604.04211v1 Announce Type: cross Abstract: Blockchain forensics inherently involves dynamic and iterative investigations, while many existing approaches

arXiv:2604.04225v1 Announce Type: cross Abstract: Learning robot control policies from demonstrations is a powerful paradigm, yet real-world data is often subop

arXiv:2604.04226v1 Announce Type: cross Abstract: Agentic Web, as a new paradigm that redefines the internet through autonomous, goal-driven interactions, plays

arXiv:2604.04262v1 Announce Type: cross Abstract: Autonomous underwater vehicles (AUVs) and sensor nodes increasingly support decentralized sensing and coordina

arXiv:2604.04265v1 Announce Type: cross Abstract: The AI-based sensing and autonomous monitoring have become the main components of wildfire early detection, bu

arXiv:2604.04374v1 Announce Type: cross Abstract: The rapid advancement of robotics, spanning expanded capabilities, more intuitive interaction, and more integr

arXiv:2604.04470v1 Announce Type: cross Abstract: Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can

arXiv:2604.04485v1 Announce Type: cross Abstract: ECG biometrics has been studied mainly on small cohorts and short inter-session intervals, leaving open how id

arXiv:2604.04490v1 Announce Type: cross Abstract: This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. T

arXiv:2604.04552v1 Announce Type: cross Abstract: Ensemble methods are widely used to improve predictive performance, but their effectiveness often comes at the

arXiv:2604.04563v1 Announce Type: cross Abstract: Recent advances in vision--language pretraining have enabled strong medical foundation models, yet most analyz

arXiv:2604.04604v1 Announce Type: cross Abstract: AI agents - i.e. AI systems that autonomously plan, invoke external tools, and execute multi-step action chain

arXiv:2604.04634v1 Announce Type: cross Abstract: The rapid advancement of video generation models has enabled the creation of highly realistic synthetic media,

arXiv:2604.04664v1 Announce Type: cross Abstract: The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabil

arXiv:2604.04692v1 Announce Type: cross Abstract: Automated fact-checking is a crucial task not only in journalism but also across web platforms, where it suppo

arXiv:2604.04757v1 Announce Type: cross Abstract: AI agents are increasingly deployed to interact with other agents on behalf of users and organizations. We ask

arXiv:2604.04759v1 Announce Type: cross Abstract: OpenClaw, the most widely deployed personal AI agent in early 2026, operates with full local system access and

arXiv:2604.04786v1 Announce Type: cross Abstract: This paper presents a quantum search approach to combinatorial constraint satisfaction problems, demonstrated

arXiv:2604.04875v1 Announce Type: cross Abstract: Video mashup creation represents a complex video editing paradigm that recomposes existing footage to craft en

arXiv:2604.04901v1 Announce Type: cross Abstract: Coworking AI agents operating within local file systems are rapidly emerging as a paradigm in human-AI interac

arXiv:2604.04906v1 Announce Type: cross Abstract: Artificial intelligence (AI) changes social learning when aggregated outputs become training data for future p

arXiv:2604.04914v1 Announce Type: cross Abstract: Deep reinforcement learning (DRL) has shown remarkable performance on complex control problems in systems and