Zhu et al., 2024 - Google Patents
Neural network inspired automation and intelligence of industrial product designZhu et al., 2024
View PDF- Document ID
- 3075620733404655390
- Author
- Zhu Z
- Xiong L
- Liao H
- Publication year
- Publication venue
- Comput Aided Des Appl
External Links
Snippet
Automation and intelligence have become important trends in modern industrial design. This article explores the application of NN (Neural Network) algorithm and CAD (Computer Aided Design) technology in industrial design and realizes the Automation and intelligence of …
- 238000013461 design 0 title abstract description 117
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5086—Mechanical design, e.g. parametric or variational design
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/4097—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/39—Robotics, robotics to robotics hand
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lv et al. | A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19 | |
Zhou et al. | Computer vision techniques in manufacturing | |
Daneshmand et al. | Industry 4.0 and prospects of circular economy: a survey of robotic assembly and disassembly | |
Yan et al. | A transfer-learning based energy consumption modeling method for industrial robots | |
Peddireddy et al. | Deep learning based approach for identifying conventional machining processes from CAD data | |
Sutanto et al. | Learning latent space dynamics for tactile servoing | |
Zhang et al. | Deep learning reactive robotic grasping with a versatile vacuum gripper | |
Kim et al. | Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning | |
CN111673733A (en) | Intelligent adaptive compliance control method for robots in unknown environments | |
Yan | Error recognition of robot kinematics parameters based on genetic algorithms | |
Liu et al. | Collision-free motion generation based on stochastic optimization and composite signed distance field networks of articulated robot | |
Liu et al. | An image based visual servo approach with deep learning for robotic manipulation | |
CN116442236A (en) | Real-time obstacle avoidance method for mechanical arm of industrial robot based on digital twin technology | |
Shi et al. | Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning | |
Zheng et al. | Deep visual-guided and deep reinforcement learning algorithm based for multip-peg-in-hole assembly task of power distribution live-line operation robot | |
Xie | [Retracted] Industrial Robot Assembly Line Design Using Machine Vision | |
Zhu et al. | Neural network inspired automation and intelligence of industrial product design | |
CN113608622A (en) | Method, system, medium and device for real-time prediction of human posture | |
Belke et al. | Object pose estimation in industrial environments using a synthetic data generation pipeline | |
CN111546035A (en) | An online fast assembly method for gears based on learning and prediction | |
Khotsianivskyi et al. | Robotic manipulator motion planning method development using neural network-based intelligent system. | |
Lu | [Retracted] Improved Genetic Algorithm for Intelligent Grinding Trajectory of Industrial Robot Sensor | |
Varedi-Koulaei et al. | Trajectory tracking solution of a robotic arm based on optimized ANN | |
Wen et al. | The Combination and Application of CAD Data and Deep Learning Algorithms in Industrial Design | |
Xiang et al. | Research on the robotic arm modeling algorithm based on deep learning |