Interaction with a real time dynamic environment simulation using a magnetic levitation haptic interface device

Author(s):  
P.J. Berkelman ◽  
R.L. Hollis ◽  
D. Baraff
2000 ◽  
Author(s):  
Peter J. Berkelman ◽  
Ralph L. Hollis

Abstract A new method for integrating a haptic interface device with 3-D dynamic simulations has been implemented which minimizes effects caused by the limited update rate of the simulation and unpredictable communication delays. The new contact point intermediate representation method is compared with a previously implemented method of virtual coupling. Both methods were applied to a recently developed 6 DOF haptic interface device based on Lorentz magnetic levitation connected with a real-time dynamic physical simulation environment. With virtual coupling, the position and orientation data from the interface device and the simulated tool each act as impedance control setpoints for the other, with error and velocity feedback acting as virtual coupling between the two systems. The simple feedback coupling enables the overall stiffness and stability of the system to be tuned easily. In the contact point intermediate representation integration method, the haptic device controller uses additional contact point position and direction information from the simulation to react to user motions by changing the device impedance appropriately at the faster update rate of the controller rather than at the slower simulation rate. The contact point intermediate representation provides a crisper, more responsive feeling than virtual coupling during interaction but is not as easily stabilized. Experimental data from the virtual coupling and a modified contact point intermediate representation implementation are presented.


Author(s):  
S. Darenfed ◽  
G. Sridharan

The objective herein is to demonstrate the feasibility of a real-time digital control of a 2 DOF magnetic levitation device for modeling and controls education, with emphasis on predictive holographic neural network control. The plant of interest is a magnetic levitation device that is nonlinear and open-loop unstable. In this application, the reference model of the plant is a neural network that has an embedded nominal linear model in the network weights. The control based on the linear model provides initial stability at the beginning of network training. In using a holographic neural network the control laws are nonlinear and online adaptation of the model is possible to capture unmodeled or time-varying dynamics. Such an environment provides for experimentation, data collection, system identification and novel control strategy implementation. The environment is used to implement predictive holographic neural networks with real-time dynamic weight tuning and controller performance comparison under various trajectories input. The educational features of this environment are being tested in a senior control engineering classroom setting.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  

2021 ◽  
Vol 11 (4) ◽  
pp. 1933
Author(s):  
Hiroomi Hikawa ◽  
Yuta Ichikawa ◽  
Hidetaka Ito ◽  
Yutaka Maeda

In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that represents the input gesture. Then, gesture identification and gesture spotting are carried out in the self-organizing map (SOM)-Hebb classifier. The gesture spotting function detects the end of the gesture by using the vector distance between the posture sequence vector and the winner neuron’s weight vector. The proposed gesture recognition method was tested by simulation and real-time gesture recognition experiment. Results revealed that the system could recognize nine types of gesture with an accuracy of 96.6%, and it successfully outputted the recognition result at the end of gesture using the spotting result.


2020 ◽  
Vol 10 (6) ◽  
pp. 780-787
Author(s):  
Hongyue Gao ◽  
Suna Li ◽  
Jicheng Liu ◽  
Wen Zhou ◽  
Fan Xu ◽  
...  

In this paper, we studied the holographic properties of liquid crystal (LC) thin film doped with carbon dots (CDs) which can be used as real-time holographic display screen. The maximum value of diffraction efficiency can reach up to 30% by using a low applied electric field 0.2 V/μm. Holograms in the LC film can be dynamically formed and self-erased. The hologram build-up time and the hologram self-erasure time in the material is fast enough to realize video refresh rate. In addition, the forming process of hologram was studied. The holographic diffraction efficiency was measured depending on the intensity of recording light, applied electric field, the intensity of readout light, and readout light polarization direction. Triple enhancement of the diffraction efficiency value by the modulation of voltage under the condition of low recording energy is presented. Therefore, we develop an easy way to obtain real-time dynamic holographic red, green and blue displays with high diffraction efficiency, which allow the LC film doped with CDs to be used as a holographic 3D display screen.


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