AI Agents & Automation

arXiv:2603.26982v1 Announce Type: cross Abstract: Reinforcement learning algorithms have been widely used for decision-making tasks in various domains. However,

arXiv:2603.27012v1 Announce Type: cross Abstract: Underwater robotic grasping is difficult due to degraded, highly variable imagery and the expense of collectin

arXiv:2603.27052v1 Announce Type: cross Abstract: Generative Artificial Intelligence (GenAI) is rapidly reshaping higher education, yet barriers to its adoption

arXiv:2603.27104v1 Announce Type: cross Abstract: Background: Medical Digital Twins (MDTs) are computational representations of individual patients that integra

arXiv:2603.27148v1 Announce Type: cross Abstract: When an LLM agent reads a confidential file, then writes a summary, then emails it externally, no single step

arXiv:2603.27194v1 Announce Type: cross Abstract: With the rapid advancement of underwater net-working and multi-agent coordination technologies, autonomous und

arXiv:2603.27218v1 Announce Type: cross Abstract: Music Structure Analysis (MSA) aims to uncover the high-level organization of musical pieces. State-of-the-art

arXiv:2603.27237v1 Announce Type: cross Abstract: This study explores the extent to which deep learning models can predict groove and its related perceptual dim

arXiv:2603.27273v1 Announce Type: cross Abstract: Modular autonomous driving systems must coordinate global progress objectives with local safety-driven reactio

arXiv:2603.27295v1 Announce Type: cross Abstract: Current scene perception tools for Blind and Low Vision (BLV) individuals rely on spoken descriptions but lack

arXiv:2603.27296v1 Announce Type: cross Abstract: The rapid development of AI-based products and their underlying models has led to constant innovation in deep

arXiv:2603.27346v1 Announce Type: cross Abstract: Robotic manipulation remains challenging for reinforcement learning due to contact-rich dynamics, long horizon

arXiv:2603.27410v1 Announce Type: cross Abstract: People infer rich social information from others' actions. These inferences are often constrained by the physi

arXiv:2603.27413v1 Announce Type: cross Abstract: As AI-enabled systems become available for political campaign outreach, an important question has received lit

arXiv:2603.27416v1 Announce Type: cross Abstract: This paper documents a case study in agent-driven autonomous reinforcement learning research for quadruped loc

arXiv:2603.27469v1 Announce Type: cross Abstract: Self-forcing video generation extends a short-horizon video model to longer rollouts by repeatedly feeding gen

arXiv:2603.27490v1 Announce Type: cross Abstract: As large language models (LLMs) evolve into autonomous agents for long-horizon information-seeking, managing f

arXiv:2603.27517v1 Announce Type: cross Abstract: AI agent frameworks connecting large language model (LLM) reasoning to host execution surfaces--shell, filesys

arXiv:2603.27533v1 Announce Type: cross Abstract: Object pose estimation is a fundamental task in 3D vision with applications in robotics, AR/VR, and scene unde

arXiv:2603.27541v1 Announce Type: cross Abstract: Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving mu

arXiv:2603.27550v1 Announce Type: cross Abstract: Seamless AI presents output as a finished, polished product that users consume rather than shape. This risks d

arXiv:2603.27557v1 Announce Type: cross Abstract: In this paper, we analyze two main factors of Bonafide Resource (BR) or AI-based Generator (AG) which affect t

arXiv:2603.27563v1 Announce Type: cross Abstract: Introspection is central to identity construction and future planning, yet most digital tools approach the sel

arXiv:2603.27632v1 Announce Type: cross Abstract: Reliable robot perception requires not only predicting scene structure, but also identifying where predictions

arXiv:2603.27670v1 Announce Type: cross Abstract: Most existing vision-language-action (VLA) models for robotic manipulation lack progress awareness, typically

arXiv:2603.27716v1 Announce Type: cross Abstract: Neuromorphic engineering has matured over the past four decades and is currently experiencing explosive growth

arXiv:2603.27756v1 Announce Type: cross Abstract: Achieving general-purpose humanoid control requires a delicate balance between the precise execution of comman

arXiv:2603.27798v1 Announce Type: cross Abstract: Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging appl

arXiv:2603.27817v1 Announce Type: cross Abstract: Street-level imagery contains personally identifiable information (PII), some of which is context-dependent. E

arXiv:2603.27868v1 Announce Type: cross Abstract: Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI impl

arXiv:2603.27886v1 Announce Type: cross Abstract: Artificial intelligence (AI) and machine learning (ML) models in materials science are predominantly trained o

arXiv:2603.27929v1 Announce Type: cross Abstract: Reconstructing continuous physical fields from sparse, irregular observations is a central challenge in scient

arXiv:2603.28032v1 Announce Type: cross Abstract: The convergence of low-altitude economies, embodied intelligence, and air-ground cooperative systems creates g

arXiv:2603.28196v1 Announce Type: cross Abstract: As AI becomes embedded in customer-facing systems, ethical scrutiny has largely focused on models, data, and g

arXiv:2603.28217v1 Announce Type: cross Abstract: Decarbonization in buildings calls for advanced control strategies that coordinate on-site renewables, grid el

arXiv:2603.28306v1 Announce Type: cross Abstract: Self++ is a design blueprint for human-AI symbiosis in extended reality (XR) that preserves human authorship w

arXiv:2603.28376v1 Announce Type: cross Abstract: Deep research agents autonomously conduct open-ended investigations, integrating complex information retrieval

arXiv:2603.28421v1 Announce Type: cross Abstract: Generating and preserving metrologically useful quantum states is a central challenge in quantum-enhanced atom

arXiv:2603.28429v1 Announce Type: cross Abstract: The demand for high-speed, low-latency, and energy-efficient object detection in autonomous systems -- such as

arXiv:2603.28474v1 Announce Type: cross Abstract: The connoisseurship of antique Chinese porcelain demands extensive historical expertise, material understandin

arXiv:2603.28498v1 Announce Type: cross Abstract: Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with bone detai

arXiv:2603.28522v1 Announce Type: cross Abstract: We present LAD, a real-time language--action planner with an interruptible architecture that produces a motion

arXiv:2603.28532v1 Announce Type: cross Abstract: Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symptomatic he

arXiv:2603.28583v1 Announce Type: cross Abstract: Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to

arXiv:2603.28625v1 Announce Type: cross Abstract: Pure Pursuit (PP) is a widely used path-tracking algorithm in autonomous vehicles due to its simplicity and re

arXiv:2603.28731v1 Announce Type: cross Abstract: Modern distributed systems integrate heterogeneous services, REST APIs with different schema versions, GraphQL

arXiv:2603.28735v1 Announce Type: cross Abstract: AI-augmented ecosystems (interconnected systems where multiple AI components interact through shared data and

arXiv:2504.06188v2 Announce Type: replace Abstract: AI agents can extend their capabilities at inference time by loading reusable skills into context, yet equip