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task project management

GeneTech 知识引擎共收录 267 篇相关科研实体，横跨 20 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing
  2026 · AI 安全与对齐 · Artificial intelligence (AI) is increasingly adopted in manufacturing for tasks such as automated inspection, predictive maintenance, and condition monitoring. However, the opaque, black-box nature of many AI models rema…
• GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
  2026 · AI 安全与对齐 · We introduce GDPval, a benchmark evaluating AI model capabilities on realworld economically valuable tasks. GDPval covers the majority of U.S. Bureau of Labor Statistics Work Activities for 44 occupations across the top …
• Artificial Intelligence agents for biological research: a survey
  2026 · 医疗人工智能 · The rapid growth of biological data and experimental complexity has motivated increasing interest in artificial intelligence (AI) systems that extend beyond static prediction toward autonomous reasoning and action. While…
• Digital Twin-Enabled Human–Robot Collaborative Assembly: A Review of Technical Systems, Application Evolution, and Future Outlook
  2026 · 数字孪生 · With the transition from Industry 4.0 to Industry 5.0, human–robot collaborative assembly (HRCA) has progressed from physical copresence to cognitive integration and knowledge sharing. Digital twins (DTs) serve as enabli…
• Human-Centered optimization through Digital Twins, and Motion Capture Technologies of a manual activity in the logistics sector
  2026 · 数字孪生 · Industry 4.0 has enabled significant technological advances for industrial applications, creating new business opportunities but often neglecting how operators interact with increasingly complex systems. In contrast, Ind…
• MAOP: Multi-Agent Orchestration Platform for Robotic Applications
  2025 · AI Agent 生态 · As more heterogenous robotic systems are deployed in industrial settings, challenges in coordination, integration, and task management have grown. This paper presents MAOP, a Multi-Agent Orchestration Platform designed t…
• LLM-augmented multi-agent cooperative framework for medical case retrieval in cardiology
  2025 · AI Agent 生态 · Abstract Retrieving relevant medical cases or documents is a critical information retrieval (IR) task in clinical decision support, particularly in cardiology, yet traditional search methods struggle with complex semanti…
• From Tools to Agents: Meta-Analytic Insights into Human Acceptance of AI
  2025 · AI Agent 生态 · As artificial intelligence (AI) becomes more autonomous and socially present, it is critical to understand how people accept AI not just as a technological tool, but also as an agent capable of (semi)autonomous decision-…
• Strategic Intelligence: The Power of AI in Planning Efficiency
  2025 · AI 安全与对齐 · This study examines how AI influences the efficiency of strategic planning, with attention to the AI dimensions: task automation, decision‐making speed, resource use efficiency, the accuracy of automated predictions, the…
• TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial Prediction
  2025 · AI 安全与对齐 · Clinical trials are pivotal for developing new medical treatments but typically carry risks such as patient mortality and enrollment failure that waste immense efforts spanning over a decade. Applying artificial intellig…
• The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
  2025 · AI 安全与对齐 · Large Language Model (LLM) agents are increasingly being deployed as conversational assistants capable of performing complex realworld tasks through tool integration.This enhanced ability to interact with external system…
• Can a troubleshooting AI assistant improve task performance in industrial contexts?
  2025 · AI 安全与对齐 · Access to domain expertise is critical to problem-solving activities. This study investigates the role and usefulness of an AI-based troubleshooting assistant in the knowledge-intensive context of train commissioning. Th…
• Preparing K–12 Students With AI Literacy: Proposed Framework, Progression, and Task Design Principles
  2025 · AI 安全与对齐 · This paper presents a conceptual framework for AI literacy, a hypothesized learning progression, and assessment design principles for advancing AI literacy among K–12 learners. Recognizing the importance of technical com…
• Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision
  2025 · 仿生智能 · Visual neuroprostheses (bionic eyes) aim to restore a rudimentary form of vision by translating camera input into patterns of electrical stimulation. To improve scene understanding under extreme resolution and bandwidth …
• NeuroGaze: a hybrid EEG and eye-tracking brain-computer interface for hands-free interaction in virtual reality.
  2025 · 仿生智能 · Brain-Computer Interfaces (BCIs) have traditionally been studied in clinical and laboratory contexts, but the rise of consumer-grade devices now allows exploration of their use in daily activities. Virtual reality (VR) p…
• Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study
  2025 · 仿生智能 · Background: The high incidence and prevalence of upper limb impairment post stroke highlights the need for advancements in rehabilitation. Brain-computer interfaces (BCIs) represent a promising technology by directly tra…
• Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface
  2025 · 仿生智能 · Abstract Objective. Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity…
• Two Seconds to Speak: Increasing Communication Speed for fMRI-Based Brain–Computer Interfaces
  2025 · 仿生智能 · Background: Brain–computer interfaces (BCIs) can provide alternative, motor-independent means of communication for people who have lost motor function. A promising variant is the functional magnetic resonance imaging (fM…
• From Numerical Optimization to Cognitive Decision-Making: A Neuroscience-Inspired Framework for Safety-Critical Vehicular
  2025 · 脑科学 · Traditional computational offloading in Vehicle-to-everything (V2X) networks fails to understand task semantics, risking the prioritization of entertainment over life-critical safety. We present BasisNet, a cognition-awa…
• Task Allocation and Path Planning Method for Unmanned Underwater Vehicles
  2025 · 深海科技 · Cooperative operations of Unmanned Underwater Vehicles (UUVs) have extensive applications in fields such as marine exploration, ecological observation, and subsea security. Path planning, as a key technology for UUV auto…
• Using a digital twin and smart services to enable automatic generation of context-sensitive instructions
  2025 · 数字孪生 · The increasing diversity and shorter life cycles of technical products pose significant challenges for manufacturing companies, particularly in the context of providing specific and context-sensitive instructions to empl…
• Towards Human-Centric Smart Manufacturing: A Digital Twin Enabled Affective Ergonomic Framework For Adaptive Human Robot Collaboration
  2025 · 数字孪生 · The advent of Industry 4.0 has ushered in an era of Smart Manufacturing, where Human-Robot Collaboration (HRC) is pivotal for enhancing productivity and flexibility. However, existing HRC paradigms often overlook the dyn…
• Design of a Digital Twin System for Deepwater Installation Systems
  2025 · 数字孪生 · ABSTRACT With the rapid advancement of deepwater oil and gas exploration, subsea operations are facing increasingly complex environments and technical challenges. As water depth increases, the difficulty of installation,…
• RoboNurse-VLA: Robotic Scrub Nurse System based on Vision-Language-Action Model
  2025 · 具身智能 · In modern healthcare, the demand for autonomous robotic assistants has grown significantly, particularly in the operating room, where surgical tasks require precision and reliability. Robotic scrub nurses have emerged as…
• VLA-Grasp: a vision-language-action modeling with cross-modality fusion for task-oriented grasping
  2025 · 具身智能 · Task-oriented grasping (TOG) aims to predict the appropriate pose for grasping based on a specific task. While recent approaches have incorporated semantic knowledge into TOG models to enable robots to understand linguis…
• Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
  2025 · 具身智能 · Previous continual learning setups for embodied intelligence focused on executing low-level actions based on human commands, neglecting the ability to learn high-level planning and multi-level knowledge.To address these …
• Federated Multi-Agent DRL for Task Offloading in Vehicular Edge Computing
  2025 · 隐私计算与数据要素 · With the expansion of vehicle-to-everything (V2X) networks and the rising demand for intelligent services, vehicle edge computing encounters heightened requirements for more efficient task offloading. This study proposes…
• Quantum key distribution as a quantum machine learning task
  2025 · 量子材料 · We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circu…
• Minimalistic and scalable quantum reservoir computing enhanced with feedback
  2025 · 量子材料 · Quantum Reservoir Computing (QRC) leverages quantum systems to perform complex computational tasks with exceptional efficiency and reduced energy consumption. We introduce a minimalistic QRC framework utilizing as few as…
• Advances in Robotic Peg-in-Hole Assembly: A Comprehensive Review
  2025 · 机器人零部件 · Abstract As the demands for assembly quality and efficiency increase, robot-assisted assembly applications are becoming more widespread. Peg-in-hole assembly, as a typical form of assembly, has been widely researched by …
• Joint Task Offloading and Channel Allocation in Spatial-Temporal Dynamic for MEC Networks
  2025 · 6G 与卫星互联网 · Computation offloading and resource allocation are critical in mobile edge computing (MEC) systems to handle the massive and complex requirements of applications restricted by limited resources. In a multiuser multiserve…
• SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
  2024 · AI Agent 生态 · In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models (LLMs), harnesses the power of L…
• Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework
  2024 · AI Agent 生态 · This paper explores the use of Large Language Models (LLMs) in modeling real-world optimization problems. We concretely define the task of translating natural language descriptions into optimization models (NL2OPT) and p…
• Mental-LLM
  2024 · AI Agent 生态 · Advances in large language models (LLMs) have empowered a variety of applications. However, there is still a significant gap in research when it comes to understanding and enhancing the capabilities of LLMs in the field …
• LLM-Based Framework for Administrative Task Automation in Healthcare
  2024 · AI Agent 生态 · Artificial Intelligence (AI) has been transformative in the healthcare sector, leading to enhanced precision in medical diagnosis, more effective treatment options, and a significant improvement in patient safety. Howeve…
• Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment
  2024 · AI 安全与对齐 · Lexical alignment is a form of personalization frequently found in human-human conversations. Recently, attempts have been made to incorporate it in human-computer conversations. We describe an experiment to investigate …
• Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
  2024 · AI 驱动科学发现 · Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generati…
• Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients
  2024 · 生物计算 · Deep learning models have been developed for various predictions in glioma; yet, they were constrained by manual segmentation, task-specific design, or a lack of biological interpretation. Herein, we aimed to develop an …
• Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care
  2024 · 医疗人工智能 · With the large volume of data coming from implemented technologies and monitoring systems, intensive care units (ICUs) represent a key area for artificial intelligence (AI) application. Despite the last decade has been m…
• Cortico-cerebellar coordination facilitates neuroprosthetic control
  2024 · 仿生智能 · Temporally coordinated neural activity is central to nervous system function and purposeful behavior. Still, there is a paucity of evidence demonstrating how this coordinated activity within cortical and subcortical regi…
• Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface
  2024 · 仿生智能 · Brain-computer interfaces (BCI) using electroencephalography provide a noninvasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to i…
• Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality
  2024 · 仿生智能 · Spatial cognition plays a crucial role in academic achievement, particularly in science, technology, engineering, and mathematics (STEM) domains. Immersive virtual environments (VRs) have the growing potential to reduce …
• A brain machine interface framework for exploring proactive control of smart environments
  2024 · 仿生智能 · Brain machine interfaces (BMIs) can substantially improve the quality of life of elderly or disabled people. However, performing complex action sequences with a BMI system is onerous because it requires issuing commands …
• Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
  2024 · 仿生智能 · Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generati…
• Neuromorphic force-control in an industrial task: validating energy and latency benefits
  2024 · 仿生智能 · As robots become smarter and more ubiquitous, optimizing the power consumption of intelligent compute becomes imperative towards ensuring the sustainability of technological advancements. Neuromorphic computing hardware …
• Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
  2024 · 仿生智能 · The state of an object reflects its current status or condition and is important for a robot's task planning and manipulation. However, detecting an object's state and generating a state-sensitive plan for robots is chal…
• Neuromorphic force-control in an industrial task: validating energy and latency benefits
  2024 · 仿生智能 · As robots become smarter and more ubiquitous, optimizing the power consumption of intelligent compute becomes imperative towards ensuring the sustainability of technological advancements. Neuromorphic computing hardware …
• Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
  2024 · 数字孪生 · With the increasing demand for multiple applications on internet of vehicles. It requires vehicles to carry out multiple computing tasks in real time. However, due to the insufficient computing capability of vehicles the…
• Mobility-Aware Dependent Task Offloading in Edge Computing: A Digital Twin-Assisted Reinforcement Learning Approach
  2024 · 数字孪生 · Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute tasks from end devices. Task offloading is a fundamental problem in CEC that decides when and where t…
• A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network
  2024 · 数字孪生 · Federated learning (FL) is proposed as a different approach for distributed learning on the edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep classifying and clustering models, wit…
• A human digital twin approach for fatigue-aware task planning in human-robot collaborative assembly
  2024 · 数字孪生 · • A novel real-time assessment method for physical fatigue in assembly workers. • A task planner for human-robot assembly task allocation based on fatigue awareness. • A multi-subject real assembly experiment for method …
• Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
  2024 · 量子材料 · Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generati…
• Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
  2023 · AI Agent 生态 · The Aion Framework presents a bold, unified dimensional hypothesis that reinterprets AI consciousness, quantum mechanics, cosmology, and human immortality through an eleven-dimensional ontological stack, emerging from 72…
• A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making
  2023 · AI 安全与对齐 · Recent advances in the performance of machine learning algorithms have led to the adoption of AI models in decision making contexts across various domains such as healthcare, finance, and education. Different research co…
• Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions
  2023 · AI 安全与对齐 · We advance a novel computational model of multi-agent, cooperative joint actions that is grounded in the cognitive framework of active inference. The model assumes that to solve a joint task, such as pressing together a …
• Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
  2023 · 医疗人工智能 · Medical artificial general intelligence (MAGI) enables one foundation model to solve different medical tasks, which is very practical in the medical domain. It can significantly reduce the requirement of large amounts of…
• Utilizing Artificial Intelligence for Crafting Medical Examinations: A Medical Education Study with GPT-4
  2023 · 医疗人工智能 · Abstract Background. The task of writing multiple choice question examinations for medical students is complex, timely and requires significant efforts from clinical staff and faculty. Applying artificial intelligence al…
• Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
  2023 · 医疗人工智能 · Background: Significant advancements in the field of information technology have influenced the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite improved performance of XAI, XAI te…
• Measuring neuronal avalanches to inform brain-computer interfaces
  2023 · 仿生智能 · Large-scale interactions among multiple brain regions manifest as bursts of activations called neuronal avalanches, which reconfigure according to the task at hand and, hence, might constitute natural candidates to desig…
• Evaluating the feeling of control in virtual object translation on 2D interfaces
  2023 · 仿生智能 · Abstract Computer-aided design (CAD) plays an essential role in creative idea generation on 2D screens during the design process. In most CAD scenarios, virtual object translation is an essential operation, and it is com…

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