2022
DOI: 10.1145/3517746
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OptiTrap: Optimal Trap Trajectories for Acoustic Levitation Displays

Abstract: Acoustic levitation has recently demonstrated the ability to create volumetric content by trapping and quickly moving particles along reference paths to reveal shapes in mid-air. However, the problem of specifying physically feasible trap trajectories to display desired shapes remains unsolved. Even if only the final shape is of interest to the content creator, the trap trajectories need to determine where and when the traps need to be, for the particle to reveal the intended shape. We propose Opti… Show more

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Cited by 12 publications
(11 citation statements)
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“…We now show how our SIMPLIFIED levitation solver performs on multipoint levitation [i.e., number of traps J = (1,2,4,8,16)] in the presence of the four scattering objects used in the previous evaluations (see fig. S3).…”
Section: Convergence and Initializationmentioning
confidence: 99%
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“…We now show how our SIMPLIFIED levitation solver performs on multipoint levitation [i.e., number of traps J = (1,2,4,8,16)] in the presence of the four scattering objects used in the previous evaluations (see fig. S3).…”
Section: Convergence and Initializationmentioning
confidence: 99%
“…Here, we compare these three solvers to demonstrate that only the SIMPLIFIED solver provides both high computational speed and trap quality. Similar to the previous evaluation, we used 1000 random combinations of trap positions per condition [i.e., four scattering objects with the different numbers of traps J = (1,2,4,8,16)]. The numbers of transducers (N = 256) and iterations (K = 100) were fixed.…”
Section: Comparison Between the Solversmentioning
confidence: 99%
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“…While these numerical approaches use simulated values to optimize acoustic fields, a number of experimental results suggest that the acoustic field in reality is offset from the numerically simulated field 3 , 8 , 21 23 . These offsets could emerge from simple uncertainties in the transducer position, power, and phase, or could emerge from non-linearity, inhomogeneity, or the existence of other scatterers in the field.…”
Section: Introductionmentioning
confidence: 99%