Collaborative Haptic Interfaces and Distributed Control for Product Development and Virtual Prototyping

Author(s):  
Shiyong Lin ◽  
Yuan-Shin Lee ◽  
Roger J. Narayan

In this paper, we propose a collaborative product development and virtual prototyping framework based on distributed haptic interfaces along with the deformable object modeling. Collaborative Virtual Environment (CVE) is a promising technique in industrial product development and virtual prototyping for globalized manufacturing enterprises. Network control problems such as network delay have greatly limited CVE’s application. The problem becomes more difficult when high-update-rate haptic interfaces and computation-demanding deformable objects are both integrated into CVEs for intuitive manipulation and enhanced realism. A hybrid network architecture is presented to balance the computational burden of haptic rendering and deformable object simulation. An adaptive artificial time compensation is used to reduce the time discrepancy between the server and the client. Interpolation and extrapolation approaches are used to synchronize graphic and haptic data transmitted over the network. The proposed techniques can be used for collaborative product virtual prototyping, virtual assembly, remote surgical simulation and other collaborative virtual environments where both haptic interfaces and deformable object models are involved.

2011 ◽  
Vol 314-316 ◽  
pp. 1607-1611
Author(s):  
Zhong Wei Gong ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Tao Chen

Engineering change is an important and complex activity for manufacturing enterprises. In order to improve the efficiency of engineering change, designers should pay different attentions to different nodes of product development network. In that case, a method of classifying the nodes was proposed. First, we proposed a method to cluster the nodes based on design structure matrix; then, we analyzed the indexes for evaluating the importance of nodes and studied the method of classifying the nodes of product development network; finally, the experiment of managing a type of motorcycle engine was employed to validate our method and it showed the correctness of the proposed method.


2018 ◽  
Author(s):  
Ankit N. Khambhati ◽  
Ari E. Kahn ◽  
Julia Costantini ◽  
Youssef Ezzyat ◽  
Ethan A. Solomon ◽  
...  

AbstractChronically implantable neurostimulation devices are becoming a clinically viable option for treating patients with neurological disease and psychiatric disorders. Neurostimulation offers the ability to probe and manipulate distributed networks of interacting brain areas in dysfunctional circuits. Here, we use tools from network control theory to examine the dynamic reconfiguration of functionally interacting neuronal ensembles during targeted neurostimulation of cortical and subcortical brain structures. By integrating multi-modal intracranial recordings and diffusion tensor imaging from patients with drug-resistant epilepsy, we test hypothesized structural and functional rules that predict altered patterns of synchronized local field potentials. We demonstrate the ability to predictably reconfigure functional interactions depending on stimulation strength and location. Stimulation of areas with structurally weak connections largely modulates the functional hubness of downstream areas and concurrently propels the brain towards more difficult-to-reach dynamical states. By using focal perturbations to bridge large-scale structure, function, and markers of behavior, our findings suggest that stimulation may be tuned to influence different scales of network interactions driving cognition.


2021 ◽  
Author(s):  
Tao Jing ◽  
Liu Shidong ◽  
Liu Chuan ◽  
Bu Xiande ◽  
Zhang Gang

2017 ◽  
Vol 28 (1) ◽  
pp. 115-127 ◽  
Author(s):  
Kai Zheng ◽  
Lin Wang ◽  
Baohua Yang ◽  
Yi Sun ◽  
Steve Uhlig

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