AI Agents & Automation

arXiv:2603.28716v1 Announce Type: new Abstract: Agentic reinforcement learning (RL) can benefit substantially from reusable experience, yet existing skill-based

arXiv:2603.25240v1 Announce Type: cross Abstract: Modeling cellular states and predicting their responses to perturbations are central challenges in computation

arXiv:2603.26679v1 Announce Type: cross Abstract: Large-enrollment university courses face persistent challenges in providing timely and scalable instructional

arXiv:2603.26682v1 Announce Type: cross Abstract: The "gender" of intelligent agents, virtual characters, social robots, and other agentic machines has emerged

arXiv:2603.26685v1 Announce Type: cross Abstract: Recent advances in computer vision facilitate fully automatic extraction of object-centric relational represen

arXiv:2603.26687v1 Announce Type: cross Abstract: Hybrid aerial--ground robots offer both traversability and endurance, but stair-like discontinuities create a

arXiv:2603.26697v1 Announce Type: cross Abstract: This paper introduces Galactic Bioware's Life Support System, a semi-closed-circuit breathing apparatus design

arXiv:2603.26704v1 Announce Type: cross Abstract: We investigate three distinct methods of incorporating all-sky imager (ASI) images into deep learning (DL) irr

arXiv:2603.26705v1 Announce Type: cross Abstract: Motivation: Generative models for protein backbone design have to simultaneously ensure geometric validity, sa

arXiv:2603.26718v1 Announce Type: cross Abstract: We analyze the challenges of benchmarking scientific (multi)-agentic systems, including the difficulty of dist

arXiv:2603.26720v1 Announce Type: cross Abstract: Predicting surgical needle trajectories from endoscopic video is critical for robot-assisted suturing, enablin

arXiv:2603.26721v1 Announce Type: cross Abstract: Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have

arXiv:2603.26748v1 Announce Type: cross Abstract: This paper addresses key challenges in the development of autonomous landing systems, focusing on dataset limi

arXiv:2603.26749v1 Announce Type: cross Abstract: Dynamic multiobjective optimization problems (DMOPs) feature time-varying objectives, which cause the Pareto o

arXiv:2603.26792v1 Announce Type: cross Abstract: Several real-world optimization problems involve mixed-variable search spaces, where continuous, ordinal, and

arXiv:2603.26794v1 Announce Type: cross Abstract: MRI-based medical imaging has become indispensable in modern clinical diagnosis, particularly for brain tumor

arXiv:2603.26804v1 Announce Type: cross Abstract: The standardization of vibrotactile data by IEEE P1918.1 workgroup has greatly advanced its applications in vi

arXiv:2603.26811v1 Announce Type: cross Abstract: Implicit neural representations (INRs) offer continuous coordinate-based encodings for atlas registration, cro

arXiv:2603.26827v1 Announce Type: cross Abstract: Spatial Transcriptomics (ST) provides spatially resolved gene expression profiles within intact tissue archite

arXiv:2603.26831v1 Announce Type: cross Abstract: Urban development has been a defining force in human history, shaping cities for centuries. However, past stud

arXiv:2603.26837v1 Announce Type: cross Abstract: Vision-and-Language Navigation (VLN) has recently benefited from Multimodal Large Language Models (MLLMs), ena

arXiv:2603.26841v1 Announce Type: cross Abstract: We present FatigueFormer, a semi-end-to-end framework that deliberately combines saliency-guided feature separ

arXiv:2603.26859v1 Announce Type: cross Abstract: Vision-and-Language Navigation (VLN) requires an agent to navigate through complex unseen environments based o

arXiv:2603.26953v1 Announce Type: cross Abstract: The expansion of exoplanet observations has created a need for flexible, accessible, and user-friendly workflo

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