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robotics

GeneTech 知识引擎共收录 8224 篇相关科研实体，横跨 30 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）

• OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks
  2026 · AI Agent 生态 · LLM-based multi-agent systems (LLM-MAS) are increasingly deployed in safety-critical applications, where adversaries inject malicious instructions through inter-agent communication to propagate harmful behaviors. Unlike …
• ToolsGenie 2.0: A Scalable and Extensible Multi-Agent System for Bioinformatics Automation
  2026 · AI Agent 生态 · Abstract The rapid expansion of biomedical data necessitates efficient bioinformatics tools, yet conventional workflows rely heavily on manual dependencies, hindering scalability and broader adoption. Building on the fou…
• HABIT: A Self-Evolving AI-Agent Harness for GUI-Based CAE Software---Application to Aerospace
  2026 · AI Agent 生态 · Abstract GUI-based CAE software sits at the center of aerospace analysis workflows, yet interacting with it remains a labor-intensive bottleneck. Embedding foundation-model agents inside such software demands two capabil…
• NeuDiff Agent: a governed AI workflow for single-crystal neutron crystallography.
  2026 · AI Agent 生态 · Large-scale facilities increasingly face analysis and reporting latency as a limiting step in scientific throughput, particularly for structural studies that require iterative reduction, integration, refinement and valid…
• SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments.
  2026 · AI Agent 生态 · Autonomous robot navigation within a dynamic environment is a complicated issue since environmental factors keep on changing, safety remains a factor, and issues of data privacy concern are also on the increase. The exis…
• Assisting Multi-Agent System Design with MOISE+ and MARL: The MAMAD Method
  2025 · AI Agent 生态 · Abstract Traditional Agent-Oriented Software Engineering (AOSE) methods rely on explicit and expert-driven design for MAS, but often lack automation. In contrast, Multi-Agent Reinforcement Learning (MARL) and related fie…
• Development of a Dynamic Path Planning System for Autonomous Mobile Robots Using a Multi-Agent System Approach.
  2025 · AI Agent 生态 · Autonomous Mobile Robots (AMRs) are increasingly important in Industry 4.0 intralogistics but creating path planning systems that adapt to dynamic and uncertain Flexible Manufacturing Systems (FMS), especially managing c…
• Energy-Aware Hybrid Decision Support System for Urban Traffic Signal Control: Multi-Agent Reinforcement Learning with Fuzzy Multi-Criteria IoT Routing
  2025 · AI Agent 生态 · Urban traffic congestion is posing significant chal- lenges to modern smart cities, which consuming excessive energy through both vehicular emissions and intelligent transporta- tion infrastructure. While multi-agent rei…
• Robust global optimization of atomic structures via a learning loss-informed on-the-fly firefly algorithm
  2026 · AI Agent 生态 · In computational materials science, global optimization is pivotal for bridging theory and experiment but can fail when the theoretical treatment defining the potential energy surface does not accurately predict stabilit…
• FTDI: A Budget-Aware Self-Healing Framework for Resilient LLM Multi-Agent Code Generation
  2026 · AI Agent 生态 · LLM-driven multi-agent systems remain vulnerable in executable-feedback code generation. Minor perturbations propagate through long interaction chains and amplify in feedback loops, while existing robustness defenses oft…
• Human-AI Collaboration in Corporate Valuation: Experimental Evidence with a Valuation AI Agent 
  2026 · AI Agent 生态 · In an era where AI can deliver increasingly sophisticated hard information, we study how AI can facilitate human soft information production and make human-AI collaboration in corporate valuation more productive. We deve…
• Multi-Agent Reinforcement Learning with Decentralized AI in Autonomous Drone Swarms
  2026 · AI Agent 生态 · The collaborative aspect of drone swarms endangers smooth functioning of services and security of national facilities. Multi-Agent Deep Learning (DL) Coordinating swarms of drones in dynamic systems are not simple tasks,…
• Do you know what your AI agent can do on its own?
  2026 · AI Agent 生态 · Deploying agentic AI in regulated contexts requires knowing two things about a deployment: what the system can do—its agency—and how much it acts without human involvement— its autonomy. Though often treated independentl…
• Observability in Large-Scale Multi-Agent Ecosystems: Coordination, Emergence, and Failure Modes
  2026 · AI Agent 生态 · Large scale multi-agent systems like autonomous vehicle fleets, smart grids etc. adds an extra whoop in system complexity. But beneath that something that is sort of I think decentralized and adaptive in their character,…
• Adaptive Multi-agent System for Dynamic Preference Learning: Application to Mobility
  2026 · AI Agent 生态 · Mobility-as-a-Service (MaaS) is a promising approach to promote sustainable modes of transport and increase the attractiveness of public and shared multimodal mobility services. The long-term objective of MaaS is to chan…
• Bounded Sub-Optimal Algorithms for Teamwise Cooperative Multi-Agent Path Finding
  2026 · AI Agent 生态 · Multi-Agent Teamwise Cooperative Path Finding (TC-MAPF) seeks collision-free paths for the agents from their start to goal locations. In addition, agents are grouped into multiple teams, and each team has its own objecti…
• GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments
  2026 · AI Agent 生态 · Safe, agile, and socially compliant multi-robot navigation in cluttered and constrained environments remains a critical challenge. This is especially difficult with self-interested agents with unique, unknown priorities …
• Cooperative Multi-Agent System Research for Driving in Mixed Traffic Environments
  2026 · AI Agent 生态 · In the realm of mixed-use urban areas, cooperative multi-agent systems are growing quickly, and robust and scalable solutions for intelligent transportation systems are also being put forth. In this research, we develop …
• A DYNAMIC MULTI-AGENT SYSTEM FOR COVERAGE-BASED TESTBENCH SYNTHESIS IN SYSTEMVERILOG
  2026 · AI Agent 生态 · This work introduces a dynamic multi-agent framework for automated testbench generation in hardware verification, leveraging large language models (LLMs), cocotb, and Verilator. The system decomposes verification into sp…
• Intermodal Journey Planning to Transportation Hubs in a Microscopic Environment: A Multi-Objective Multi-Agent Reinforcement Learning Optimization Framework
  2026 · AI Agent 生态 · Intermodal journey planning remains a challenge in intelligent transportation systems, particularly when accounting for heterogeneous passenger preferences and the integration into smart cities. Traditional planning appr…
• AEGIS-RL: Abstract, Explainable Graphs for Integrated Safety in RL
  2026 · AI Agent 生态 · Abstract Ensuring the safety of reinforcement learning (RL) policies in high-stakes environments requires more than formal verification: it needs interpretability and targeted falsification—the deliberate search for coun…
• Operationalizing Expert Knowledge in Construction Safety Training Through a Constraint-Guided Multi-Agent LLM System
  2026 · AI Agent 生态 · Automating knowledge-intensive workflows in construction requires information technology systems that can reliably execute expert judgment across sequential, interdependent tasks. This paper developed and evaluated a con…
• Solar-Powered NPK Detection System for Precision Agriculture
  2026 · 智慧农业 · This paper presents a low cost solar powered NPK detection system for real time soil nutrient monitoring in precision agriculture. The prototype combines an ion selective electrochemical NPK sensor, an Arduino Nano micro…
• Optical Sensor Networks for Precision Agriculture: High-Speed Data Transmission and Remote Crop Monitoring
  2026 · 智慧农业 · Precision agriculture is more and more relying on the dense sensing and an immediate analytics to streamline irrigation, application of fertilizers, and diseases. Our suggested optical sensor network (OSN) architecture p…
• Iot-Based Smart Irrigation Model for Precision Agriculture Using ESP8266 and Soil Moisture Analysis
  2026 · 智慧农业 · Water management is one of the biggest challenges in agriculture today. Many farmers still follow fixed irrigation schedules without checking the actual needs of the soil or the weather. This often causes water wastage o…
• A Hailo-Accelerated System for Precision Agriculture: Real-Time on-Board YOLO Inference on a Drone Platform
  2026 · 智慧农业 · Precision agriculture demands real-time solutions for detecting pests and nutritional deficiencies, a task where cloud-based systems falter due to latency and connectivity issues in rural settings. This paper introduces …
• Development of the AI Drilling Agent: AI-Physics Hybrid Model for Accurate, Adaptive and Autonomous Decision-making
  2025 · AI Agent 生态 · Abstract This study investigates the development of the AI Drilling Agent through a hybrid methodology that integrates physics-based modeling and simulation with advanced agentic AI. The current focus is on training the …
• LLM-Guided Multi-Agent System for Natural Language-Based Robot Navigation
  2025 · AI Agent 生态 · Natural language-driven robot navigation has the potential to make human-robot interactions more intuitive. This paper presents an innovative approach that integrates a Large Language Model (LLM) with a Multi-Agent Syste…
• State Estimation of Multi‐Agent Vehicle‐Road Interaction System
  2025 · AI Agent 生态 · Up-to-date discussions of the challenges and solutions in state estimation of vehicle neighborhood systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduc…
• POSGGym: a library for decision-theoretic planning and learning in partially observable, multi-agent environments
  2025 · AI Agent 生态 · Abstract Seamless integration of Planning Under Uncertainty and Reinforcement Learning (RL) promises to bring the best of both model-driven and data-driven worlds to multi-agent decision-making, resulting in an approach …
• Cyberattack Detection in Multi-Agent System
  2025 · AI Agent 生态 · In this paper, we investigate the secure consensus problem for multiple-input-multiple-output (MIMO) linear multi-agent systems (MASs) under false data injection (FDI) attacks, where an adversary corrupts the output meas…
• Simulating a Multi-Agent UAV System Coordinated by State Machines Using Godot
  2025 · AI Agent 生态 · Unmanned aerial vehicles have advanced quickly and are now a dominant force in several domains, including military, security, and even logistics. 3D simulations with virtual environments are cost effective tools for asse…
• Adaptive Consensus Control for the Boundary-Coupled Multi-Agent System
  2025 · AI Agent 生态 · This study establishes a control framework for multi-agent systems, using ordinary differential equations (ODE) to represent agent dynamics and the heat equation to simulate thermal transfer within their environment. The…
• A framework for building explainable collaborative multimodal dialogue systems using a theory of mind
  2025 · AI Agent 生态 · Eva is a multimodal conversational framework for building planning-based systems that help users accomplish their domain goals through collaborative dialogue. We argue that planning-based systems can do this by inferring…
• Coal Mining Safety and Monitoring System Using Labview
  2025 · AI Agent 生态 · Safety is crucial in every industry, but it's especially important in mining, where conditions can quickly become life-threatening. Even with standard safety measures, underground mines still face rising temperatures, in…
• Multi-agent Cooperative Encirclement Method Based on Reinforcement Learning
  2025 · AI Agent 生态 · This paper introduces a reinforcement learning-based multi-agent cooperative encirclement method to tackle target tracking and encirclement in dynamic stochastic environments. The Soft Actor-Critic (SAC) algorithm is fir…
• A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse
  2025 · AI Agent 生态 · The Floyd-Warshall algorithm, traditionally used for finding all-pairs shortest paths, faces challenges in large-scale warehouse settings due to its high time complexity. This paper proposed a hybrid improved Floyd-Warsh…
• Multi-Agent System Based on Bi-Level FBS Self-Closed-Loop Co-Evolution Framework
  2025 · AI Agent 生态 · Abstract Multi-agent systems must operate in increasingly dynamic environments, where sudden changes such as the appearance of moving or unforeseen obstacles pose major challenges to the system’s adaptability. In this pa…
• Remote Assessments and Aerial Imaging Using UAV for Disaster Management and Precision Agriculture with Immediate Response – A Case Study
  2025 · 智慧农业 · Advancement in Remote Sensing (RS) and Geographic Information System (GIS) allows non-destructive and timely observation of particular events. Precise and timely assessment of natural disasters such as earthquakes, lands…
• Development of a Machine vision system for apple bud thinning in precision crop load management
  2025 · 智慧农业 · Thinning is a critical practice in apple orchard management, directly influencing crop load and fruit quality. To assist automated crop load management, a machine vision system for apple bud detection was developed to be…
• Multi-agent cooperative encirclement based on improved MADDPG algorithm
  2024 · AI Agent 生态 · Abstract In this paper, we propose an improved Multi-agent Deep Deterministic Policy Gradient algorithm with a Priority Experience Replay mechanism (PER-MADDPG) to address the baseline algorithm’s high-dimensional state …
• Artificial Intelligence for Cooperative Collision Avoidance of Ships Developed by Multi-Agent Deep Reinforcement Learning
  2024 · AI Agent 生态 · Abstract Most ship collisions are caused by human error, making them unpreventable as long as humans operate a ship. Autonomous navigation technology is expected to prevent these accidents. Collision avoidance is a key i…
• A Novel Multi-Agent System for Complex Scheduling Problems
  2024 · AI Agent 生态 · Complex scheduling problems require a large amount computation power and innovative solution methods. The objective of this paper is the conception and implementation of a multi-agent system that is applicable in various…
• Reliable Multi-agent Task Coordination Management System for Logistics System
  2024 · AI Agent 生态 · The global population is aging, leading to significant societal challenges, particularly in developed countries like Japan. This demographic shift exacerbates labor shortages, driving the demand for automation solutions …
• Connected and Automated Transportation System in Multi-agent Environment^*
  2024 · AI Agent 生态 · Traffic simulation is important for transportation researchers, analysts, and policymakers. It can be used to test vehicle/traffic control algorithms, gain insights into traffic dynamics, and develop traffic management s…
• A Software System for Planning Collision-Free Motion for Multi-Agent Systems Using Control Barrier Functions
  2024 · AI Agent 生态 · Abstract The research concerning the control of multi-agent systems has grown rapidly over the past decade, attributed to their adaptiveness, efficiency, and robustness in dynamic environments. While multi-agent systems …
• Cyber‐physical system model based on multi‐agent system
  2024 · AI Agent 生态 · Abstract Integrating physical processes with computational components creates cyber‐physical systems (CPS) that seamlessly interact between the physical and digital worlds. The cyber‐physical system has become an interes…
• Affine Formation Maneuver Control for Multi-Agent Based on Optimal Flight System
  2024 · AI Agent 生态 · The use of affine maneuver control to maintain the desired configuration of unmanned aerial vehicle (UAV) swarms has been widely practiced. Nevertheless, the lack of capability to interact with obstacles and navigate aut…
• COLREGs Inspired Decentralised Path Planning for Multi-Agent System
  2024 · AI Agent 生态 · Multi-agent systems are being widely used for robotic applications in the domains of search and rescue, surveillance, and mapping. Traffic handling for collision free navigation is one of the major requirements for effec…
• Semi-Decentralized Control of Multi-Robot System for Autonomous Navigation via Multi-Agent Reinforcement Learning
  2023 · AI Agent 生态 · Abstract We consider the navigation problem of multiple mobile robots in a continuous space populated with obstacles. Conventionally, this problem is formulated as multi-robot path planning (MRPP) to generate collision-f…
• Development of a small agricultural field inspection vehicle
  2023 · 智慧农业 · Weed mapping is a valuable tool when it comes to optimizing the use of resources in managing the attempts made to control weeds. Weed mapping has traditionally been done by using random sampling techniques, amongst other…
• Evolution of agricultural machinery: the third way
  2023 · 智慧农业 · The innovations in agricultural equipments have always been an important stimulator to the development of agriculture. For several years, we were witnesses of an irremediable increase in the size of agricultural machines…
• Optimizing agricultural coverage path to minimize soil compaction
  2023 · 智慧农业 · The Coverage Path Planning (CPP) problem is the optimization problem of finding the best path that covers a complete area. In agriculture, the coverage path defines the path that the tractor follows, which is directly re…
• GPS-based auto-guidance test program development
  2023 · 智慧农业 · Auto-guidance based on Global Positioning System (GPS) navigation is a rapidly expanding technology in modern agriculture. Because of many discrepancies in testing methods, there is a need to establish a standardized tes…
• Towards Sustainable Desert Agriculture: An AI-Driven UAV Intelligence Framework for Precision Monitoring and Resource Optimization
  2026 · 智慧农业 · Abstract There are many challenges faced by desert agriculture like water scarcity, extreme temperatures, poor soil conditions and sand encroachment(sand dunes). Traditional farming methods worked exceptionally well in d…
• Adaptive Multi-Agent Role Reassignment over Model Context Protocol for Resilient AI Orchestration
  2025 · AI Agent 生态 · Abstract Multi-agent systems powered by large language models (LLMs) can automate complex workflows by dividing tasks among specialised roles such as research, critique and summarisation. Existing orchestration framework…
• WITHDRAWN: Resilience-Oriented Lifecycle Automation of Structural RC Elements via a Multi-Agent System Framework
  2025 · AI Agent 生态 · Abstract Disjointed coordination between design, management, engineering, and production teams continues to hamper efficiency across various residential construction projects. This disconnect leads to costly delays in ma…
• Chapter 48: Agentic AI for Sustainable Behaviour: A Coaching Framework and Workflow
  2026 · AI Agent 生态 · Addressing the climate crisis requires individuals to adopt and maintain multiple low-carbon behaviours across diverse aspects of everyday life.Traditional behavioural interventions, although effective in specific contex…
• Multi-Agent Robotic Assembly for Industrialized Construction: A Hierarchical, LLM-Based BIM-to-BOT Framework
  2026 · AI Agent 生态 · Robotics in construction is often hindered by the high cost of project-specific reprogramming and the specialized knowledge gap between construction experts and designers and robotic systems. This study introduces a mult…
• Multi-Agent Smart Water Distribution with Computer Vision-Based Container Detection and AI-Driven Behavior Forecasting for Disaster Relief in Smart Cities
  2026 · AI Agent 生态 · This paper presents a self-developed multi-agent IoT water distribution system for disaster relief in smart cities, in which each smart dispenser operates as a fully agentic autonomous unit. The proposed design integrate…

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