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视觉与机器人

世界模型

面向环境建模、时序预测、仿真规划、具身智能和自动驾驶的世界模型方法与应用。

共收录 6518 信号源:cs.AI, cs.LG, cs.CV, cs.RO, cs.MA

1. 仿真与规划 323 篇

1812.06008 2018-12-17 physics.soc-ph cs.MA 53%

Space Matters: extending sensitivity analysis to initial spatial conditions in geosimulation models

J. Raimbault, C. Cottineau, M. Le Texier, F. Le Néchet, R. Reuillon

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.MA

Comments 23 pages, 10 figures, 4 tables

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1807.11139 2018-07-31 cs.AI cs.LO 53%

Causal Modeling with Probabilistic Simulation Models

Duligur Ibeling

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.AI

Comments PLP 2018 (The 5th Workshop on Probabilistic Logic Programming)

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1801.07583 2018-01-24 cs.MA 53%

An Agent-Based Simulation Model for Optimization of the Signalized Intersection Connected to Freeway On-Ramp

Xuejin Wen

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.MA

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1709.02243 2017-09-08 cs.CV 53%

Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models

Sultan Daud Khan, Muhammad Saqib, Michael Blumenstein

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.CV

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1708.02938 2017-08-11 cs.MA nlin.PS q-bio.PE 53%

A Novel Formal Agent-based Simulation Modeling Framework of an AIDS Complex Adaptive System

Amnah Siddiqa, Muaz A. Niazi

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.MA

Comments 8 pages, 4 figures

Journal ref International Journal of Agent Technologies and Systems (IJATS), 5(3), 33-53 (2013)

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1708.02357 2017-08-09 cs.MA cs.AI cs.NI cs.SI nlin.AO 53%

Towards A Novel Unified Framework for Developing Formal, Network and Validated Agent-Based Simulation Models of Complex Adaptive Systems

Muaz A. Niazi

专题命中 仿真与规划 :simulation model(title);分类 cs.AI、cs.MA

Comments PhD Thesis, University of Stirling, Scotland, UK. (2011), 93 figures, 23 tables, 292 pages

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1108.3019 2011-08-16 cs.AI 53%

A First Approach on Modelling Staff Proactiveness in Retail Simulation Models

Peer-Olaf Siebers, Uwe Aickelin

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.AI

Comments 25 pages, 3 figures, 10 tables

Journal ref Journal of Artificial Societies and Social Simulation, 14 (2), pages 1-25, 2011

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1003.3775 2010-07-05 cs.AI cs.CE 53%

Optimisation of a Crossdocking Distribution Centre Simulation Model

Adrian Adewunmi, Uwe Aickelin

专题命中 仿真与规划 :simulation model(title,abstract);分类 cs.AI

Comments 6 pages, 7 tables, 2008 International Simulation Multi-Conference (SCS), San Diego, USA

Journal ref Proceedings of 2008 International Simulation Multi-Conference (SCS), San Diego, USA, 434-439

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2608.08871 2026-08-11 cs.RO cs.SY eess.SY 新提交 50%

Hierarchical Topology-Aware Planning and Control of Underwater Vehicle-Manipulator Systems in Confined Environments

受限环境下水下机器人-机械臂系统的分层拓扑感知规划与控制

Mohamed Abdelwahab, Ruggero Carli, Damiano Varagnolo, Alberto Dalla Libera

机构 * University of Padova(帕多瓦大学) Polytechnic University of Bari(巴里理工大学) Norwegian University of Science and Technology(挪威科技大学)

专题命中 仿真与规划 :model-based reinforcement learning(abstract);分类 cs.RO

AI总结 针对受限环境下UVMS自主干预的风险问题,提出三层分层框架MANTA,经实验验证其任务成功率更高、安全余量更大,可实现更安全高效的水下自主干预。

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2606.27766 2026-06-29 cs.LG cs.AI cs.RO 新提交 50%

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

RS-Diffuser: 基于分布价值引导的风险敏感扩散规划

Shiqiang Gong

机构 * Northwestern Polytechnical University(西北工业大学)

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;dynamics model(abstract)

AI总结 提出RS-Diffuser,一种结合扩散轨迹生成与分布价值评论家的风险敏感离线规划框架,通过尾部感知目标引导去噪过程,实现灵活的风险偏好行为,在风险敏感D4RL和机器人导航基准上达到最优性能。

Comments ICIC 2026 Oral

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1809.07412 2026-06-04 cs.LG cs.AI cs.SY eess.SY 50%

Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture

在单体神经事件推理架构中的学习、规划与控制

Martin V. Butz, David Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte

机构 * Cognitive Modeling Group Computer Science Department University of Tübingen(图宾根大学认知建模组计算机科学系)

专题命中 仿真与规划 :分类 cs.AI、cs.LG;predictive model(abstract);predictive models(abstract)

AI总结 该研究提出了一种单体神经事件推理架构REPRISE,通过学习动态系统的时序事件预测模型,结合回顾和前瞻推理,实现对传感器运动动态的高效预测与控制。

Comments This is the final revision submitted to the Neural Networks journal. The revision mainly includes improvements in language, explanation, and additional references and system relations

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2602.05031 2026-06-03 cs.LG 50%

Laplacian Representations for Decision-Time Planning

用于决策时规划的拉普拉斯表示

Dikshant Shehmar, Matthew Schlegel, Matthew E. Taylor, Marlos C. Machado

机构 * University of Cambridge(剑桥大学)

专题命中 仿真与规划 :model-based reinforcement learning(abstract);分类 cs.LG

AI总结 本文提出利用拉普拉斯表示作为决策时规划的潜在空间,通过多时间尺度捕捉状态空间距离,并基于此设计层次规划算法ALPS,在离线目标条件强化学习任务中优于常用基线。

Comments Accepted at ICML 2026

Journal ref Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)

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2605.25346 2026-05-26 cs.RO cs.AI cs.LG cs.SY eess.SY math.OC 50%

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers

用于学习和规划的并行可微可达性:带认证的神经动力学与控制器

Keyi Shen, Glen Chou

机构 * MIT(麻省理工学院)

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;dynamics model(abstract)

AI总结 提出一种基于JAX的并行可微可达性框架,结合泰勒模型流形构建与CROWN线性界传播,支持GPU批处理和自动微分,并用于认证训练和可达性感知的MPC,在非抓取操作和四旋翼任务中实现在线规划与有界不确定性下的认证可达集过近似。

Comments Robotics: Science and Systems XXII (RSS 2026)

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2603.18400 2026-03-24 cs.RO 50%

Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning

基于约束图的模型预测控制:用于反应性多智能体任务与运动规划

Anastasios Manganaris, Jeremy Lu, Ahmed H. Qureshi, Suresh Jagannathan

机构 * Department of Computer Science, Purdue University(计算机科学系,普渡大学)

专题命中 仿真与规划 :environment model(abstract);分类 cs.RO

AI总结 本文提出基于约束图的模型预测控制(GoC-MPC),用于解决多智能体任务与运动规划中的依赖几何约束序列问题,支持部分有序任务、动态智能体协调及扰动恢复,实现高效鲁棒的多智能体操作。

Comments 8 main content pages, 4 main content figures, camera ready version submitted to IEEE International Conference on Robotics and Automation (ICRA 2026)

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2411.08253 2026-03-12 cs.RO 50%

Open-World Task and Motion Planning via Vision-Language Model Generated Constraints

开放世界任务与运动规划 via 视觉-语言模型生成的约束

Nishanth Kumar, William Shen, Fabio Ramos, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Caelan Reed Garrett

机构 * NVIDIA Research(NVIDIA研究) MIT CSAIL

专题命中 仿真与规划 :environment model(abstract);分类 cs.RO

AI总结 本文提出OWL-TAMP方法,通过整合视觉-语言模型生成的约束,提升开放世界任务与运动规划的性能,实现对自然语言目标的处理能力。

Comments A version of this paper appears in IEEE Robotics and Automation Letters (RA-L) Volume 11, Issue 3

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2510.24554 2026-02-10 cs.RO 50%

An Adaptive Inspection Planning Approach Towards Routine Monitoring in Uncertain Environments

一种面向不确定环境常规监测的自适应检查规划方法

Vignesh Kottayam Viswanathan, Yifan Bai, Scott Fredriksson, Sumeet Satpute, Christoforos Kanellakis, George Nikolakopoulos

机构 * Robotics and AI, Luleå University of Technology(机器人与人工智能,卢勒奥技术大学)

专题命中 仿真与规划 :environment model(abstract);分类 cs.RO

AI总结 本文提出了一种分层框架,用于在不确定环境中通过自适应检查规划实现常规监测。

Comments Accepted to ICRA 2026

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2512.05808 2025-12-08 cs.RO 50%

Real-time Remote Tracking and Autonomous Planning for Whale Rendezvous using Robots

使用机器人进行实时远程追踪和自主规划的座头鲸会合系统

Sushmita Bhattacharya, Ninad Jadhav, Hammad Izhar, Karen Li, Kevin George, Robert Wood, Stephanie Gil

机构 * Harvard University(哈佛大学) Project CETI

专题命中 仿真与规划 :model-based reinforcement learning(abstract);分类 cs.RO

AI总结 本文提出了一种基于模型强化学习的实时远程追踪和自主规划系统,用于海上座头鲸会合任务。

Journal ref International Symposium of Experimental Robotics 2025

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2509.09074 2025-11-13 cs.RO cs.AI cs.LG 50%

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning

Alice Kate Li, Thales C Silva, Victoria Edwards, Vijay Kumar, M. Ani Hsieh

机构 * GRASP Laboratory University of Pennsylvania(GRASP实验室 大学)

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;dynamics model(abstract)

Comments Revised with link to code. Accepted to CoRL 2025 (Conference on Robot Learning). 15 pages 11 figures

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2508.06742 2025-08-12 cs.RO cs.AI cs.LG cs.SY eess.SY 50%

Learning Causal Structure Distributions for Robust Planning

Alejandro Murillo-Gonzalez, Junhong Xu, Lantao Liu

机构 * School of Informatics, Computing and Engineering, Indiana University(信息学、计算与工程学院,印第安纳大学) Nuro, Inc.(Nuro公司)

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;dynamics model(abstract)

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS (RA-L) 2025

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2507.11211 2025-07-16 cs.RO cs.SY eess.SY 50%

MPC-based Coarse-to-Fine Motion Planning for Robotic Object Transportation in Cluttered Environments

Chen Cai, Ernesto Dickel Saraiva, Ya-jun Pan, Steven Liu

机构 * Department of Electrical and Computer Engineering, University of Kaiserslautern Landau(电气与计算机工程系,凯撒斯劳滕大学) Department of Mechanical Engineering, Dalhousie University(机械工程系,达尔豪斯大学)

专题命中 仿真与规划 :environment model(abstract);分类 cs.RO

Comments 10 pages, 5 figures, submitted to IEEE Robotics and Automation Letters (RA-L)

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2506.12095 2025-06-17 cs.RO 50%

DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion

Khang Nguyen, An T. Le, Jan Peters, Minh Nhat Vu

机构 * University of Texas at Arlington(德克萨斯大学阿灵顿分校) Intelligent Autonomous Systems Lab(智能自主系统实验室) German Research Center for AI (DFKI)(德国人工智能研究中心) Automation & Control Institute (ACIN)(自动化与控制研究所) Austrian Institute of Technology (AIT) GmbH(奥地利技术研究所)

专题命中 仿真与规划 :model-based reinforcement learning(abstract);分类 cs.RO

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2405.02161 2024-10-23 cs.LG cs.AI cs.CE cs.MA econ.GN q-fin.EC 50%

Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based Modelling

Simone Brusatin, Tommaso Padoan, Andrea Coletta, Domenico Delli Gatti, Aldo Glielmo

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.MA;simulation model(abstract)

Comments 9 pages, 4 figures

Journal ref Proceedings of the Fifth ACM International Conference on AI in Finance (ICAIF 2024, https://ai-finance.org/)

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2410.11155 2024-10-16 cs.AI cs.LG cs.RO 50%

Latent-Predictive Empowerment: Measuring Empowerment without a Simulator

Andrew Levy, Alessandro Allievi, George Konidaris

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;predictive model(abstract)

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2405.19014 2024-06-24 cs.LG 50%

Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption

Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

专题命中 仿真与规划 :model-based reinforcement learning(abstract);分类 cs.LG

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2405.06286 2024-05-13 cs.RO cs.CV cs.CY cs.LG cs.SY eess.SY 50%

A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project

Leon Eisemann, Mirjam Fehling-Kaschek, Silke Forkert, Andreas Forster, Henrik Gommel, Susanne Guenther, Stephan Hammer, David Hermann, Marvin Klemp, Benjamin Lickert, Florian Luettner, Robin Moss, Nicole Neis, Maria Pohle, Dominik Schreiber, Cathrina Sowa, Daniel Stadler, Janina Stompe, Michael Strobelt, David Unger, Jens Ziehn

专题命中 仿真与规划 :分类 cs.LG、cs.CV、cs.RO;simulation model(abstract)

Comments 6 pages, 5 figures, 2 tables

Journal ref Proceedings of the 7th International Symposium on Future Active Safety Technology toward zero traffic accidents (JSAE FAST-zero '23), 2023

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2401.10519 2024-03-25 eess.SY cs.RO cs.SY 50%

A Wind-Aware Path Planning Method for UAV-Asisted Bridge Inspection

Jian Xu, Hua Dai

专题命中 仿真与规划 :environment model(abstract);分类 cs.RO

Comments After carefully analysis, there is a bit design flaws in Algorithm 1. The experimental work of the paper is not comprehensive,which lacks an evaluation of the algorithm's running time

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2401.11985 2024-01-23 cs.LG cs.CV cs.RO 50%

Scaling Face Interaction Graph Networks to Real World Scenes

Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly Stachenfeld, Kelsey R. Allen

专题命中 仿真与规划 :分类 cs.LG、cs.CV、cs.RO;simulation model(abstract)

Comments 16 pages, 12 figures

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2401.08663 2024-01-18 cs.AI cs.LG cs.RO cs.SY eess.SY 50%

An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data

Gulay Goktas Sever, Umut Demir, Abdullah Sadik Satir, Mustafa Cagatay Sahin, Nazim Kemal Ure

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.RO;simulation model(abstract)

Comments Preprint submitted to Aerospace Science and Technology

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2309.11456 2024-01-15 cs.AI cs.LG cs.MA nlin.AO physics.soc-ph 50%

Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence

Navid Ghaffarzadegan, Aritra Majumdar, Ross Williams, Niyousha Hosseinichimeh

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.MA;simulation model(abstract)

Comments System Dynamics Review (2024)

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2312.06871 2023-12-13 cs.AI cs.LG cs.MA 50%

Using Analytics on Student Created Data to Content Validate Pedagogical Tools

John Kos, Kenneth Eaton, Sareen Zhang, Rahul Dass, Stephen Buckley, Sungeun An, Ashok Goel

专题命中 仿真与规划 :分类 cs.AI、cs.LG、cs.MA;simulation model(abstract)

Comments 16 pages, preprint

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