相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A BIM-data mining integrated digital twin framework for advanced project management
Yue Pan et al.
AUTOMATION IN CONSTRUCTION (2021)
BIM-based task-level planning for robotic brick assembly through image-based 3D modeling
Lieyun Ding et al.
ADVANCED ENGINEERING INFORMATICS (2020)
An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots
Ignacio Carlucho et al.
ISA TRANSACTIONS (2020)
On-site autonomous construction robots: Towards unsupervised building
Nathan Melenbrink et al.
AUTOMATION IN CONSTRUCTION (2020)
Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
Fei Tao et al.
ENGINEERING (2019)
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
Yu Ding et al.
ADVANCED ENGINEERING INFORMATICS (2019)
Digital twin for adaptation of robots' behavior in flexible robotic assembly lines
Niki Kousi et al.
7TH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2018) (2019)
Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes
Ran Liu et al.
INFORMS JOURNAL ON COMPUTING (2019)
Pictobot
Ehsan Asadi et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE (2018)
A scenario-based optimization of Smart Energy Hub operation in a stochastic environment using conditional-value-at-risk
Mahmoud Roustai et al.
SUSTAINABLE CITIES AND SOCIETY (2018)
Adaptive Robot Path Planning Using a Spiking Neuron Algorithm With Axonal Delays
Tiffany Hwu et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2018)
Feasibility study for drone-based masonry construction of real-scale structures
Sebastien Goessens et al.
AUTOMATION IN CONSTRUCTION (2018)
Deep Reinforcement Learning: An Overview
Seyed Sajad Mousavi et al.
PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2 (2018)
Deep Reinforcement Learning A brief survey
Kai Arulkumaran et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Additive manufacturing of geopolymer for sustainable built environment
Biranchi Panda et al.
JOURNAL OF CLEANER PRODUCTION (2017)
Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control
Azzeddine Bakdi et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2017)
A Q-Learning Approach to Flocking With UAVs in a Stochastic Environment
Shao-Ming Hung et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Navigation of underwater robot based on dynamically adaptive harmony search algorithm
Shubhasri Kundu et al.
MEMETIC COMPUTING (2016)
Vision guided autonomous robotic assembly and as-built scanning on unstructured construction sites
Chen Feng et al.
AUTOMATION IN CONSTRUCTION (2015)
An adaptive genetic algorithm for robot motion planning in 2D complex environments
Amir Hossein Karami et al.
COMPUTERS & ELECTRICAL ENGINEERING (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Adaptive Coordinating Construction of Truss Structures Using Distributed Equal-Mass Partitioning
Seung-kook Yun et al.
IEEE TRANSACTIONS ON ROBOTICS (2014)
Stochastic and deterministic assembly processes in subsurface microbial communities
James C. Stegen et al.
ISME JOURNAL (2012)
An Aging Workforce and Injury in the Construction Industry
N. V. Schwatka et al.
EPIDEMIOLOGIC REVIEWS (2011)
Dynamic planning and control methodology for strategic and operational construction project management
SH Lee et al.
AUTOMATION IN CONSTRUCTION (2006)
The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy
RG Andrzejak et al.
EPILEPSY RESEARCH (2001)