Abstract | ||
---|---|---|
This paper is concerned with network-based multi-user haptic interaction using a distributed peer-peer control architecture. It proposes new quantitative measures for quantifying the fidelity of haptic simulations in such environments. User's perceived admittance and discrepancy among local copies of virtual objects are considered in defining these measures. A state prediction scheme is proposed to compensate for the negative effects of the network communication delay on the transparency and stability of the haptic simulation. An optimization problem is formulated for selecting the control gains that can enhance the performance while maintaining system stability. Numerical analysis and haptic interaction experiments are carried out to demonstrate the effectiveness of the proposed approach. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/WHC.2009.4810885 | Salt Lake City, UT |
Keywords | Field | DocType |
haptic interaction experiment,network-based haptics,negative effect,improving transparency,haptic simulation,local copy,control gain,network communication delay,peer-peer control architecture,network-based multi-user haptic interaction,system stability,admittance,gain,couplings,stability analysis,computer architecture,numerical stability,predictive models,control systems,haptic interface,numerical analysis,optimization problem | Transparency (graphic),Fidelity,State prediction,Computer science,Simulation,Network communication,Control engineering,Numerical analysis,Admittance,Optimization problem,Haptic technology | Conference |
ISBN | Citations | PageRank |
978-1-4244-3858-7 | 3 | 0.44 |
References | Authors | |
13 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sina Niakosari | 1 | 4 | 0.81 |
Shahin Sirouspour | 2 | 229 | 21.84 |