A Design Support Method for Automation System Configuration Using Model-Based Simulation

Author(s):  
Hiromi Igawa ◽  
Yoshiyuki Tajima ◽  
Hidenori Yamamoto ◽  
Shuichiro Sakikawa
Algorithms ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 266
Author(s):  
Lorenzo Rapetti ◽  
Yeshasvi Tirupachuri ◽  
Kourosh Darvish ◽  
Stefano Dafarra ◽  
Gabriele Nava ◽  
...  

This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is model-based, it makes use of velocity correction and differential kinematics integration in order to compute the system configuration. The convergence of the model towards the measurements is proved using Lyapunov analysis. An experimental scenario, where the motion of a human subject is tracked in static and dynamic configurations, is used to validate the inverse kinematics method performance on human and humanoid models. Moreover, the method is tested on a human-humanoid retargeting scenario, verifying the usability of the computed solution in real-time robotics applications. Our approach is evaluated both in terms of accuracy and computational load, and compared to iterative optimization algorithms.


2013 ◽  
Vol 56 (8) ◽  
pp. 1-20 ◽  
Author(s):  
Ying Li ◽  
KeWei Sun ◽  
Jie Yang ◽  
TianCheng Liu ◽  
LiangZhao Zeng

2020 ◽  
Vol 77 ◽  
pp. 03002
Author(s):  
Christian Deschner

In times products gain in complexity and variety whereby release and development cycles become even shorter, consistent and systematic variant management is essential not only for technical communication but also for the very most processes in PLM. Therefore, system engineering and system configuration themselves must be leading for a centrally managed, reliable variant management for all PLM processes. We depict how enhanced model-based system engineering approach based on product and product component models can be the enabler for variant management in all PLM processes by specific, explicitly deduced views in different stages of the entire Product Lifecycle.


2005 ◽  
Vol 04 (01) ◽  
pp. 83-101 ◽  
Author(s):  
MINGJUN ZHANG ◽  
WILLIAM FISHER ◽  
HANS SITTE ◽  
TZYH-JONG TARN

This paper proposes a function model-based approach to develop manufacturing automation systems. Methods for manufacturing automation system integration and main function component design based on a function model are discussed. System cost and main function component optimization are performed in the early design stage to find low risk cost-effective solutions. To illustrate the idea, the proposed approach has been applied to a simple example of designing a flexible micro-titer tray manufacturing automation system used to fabricate DNA microarrays.


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