Paneva, Viktorija;
Fleig, Arthur;
Martinez Plasencia, Diego;
Faulwasser, Timm;
Müller, Jörg;
(2022)
Content Rendering for Acoustic Levitation Displays via Optimal Path Following.
In:
Extended Abstracts presented at the 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022.
(pp. pp. 1-4).
University of Bayreuth
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Abstract
Recently, volumetric displays based on acoustic levitation have demonstrated the capability to produce mid-air content using the Persistence of Vision (PoV) effect. In these displays, acoustic traps are used to rapidly move a small levitated particle along a prescribed path. This note is based on our recent work OptiTrap (Paneva et al., 2022), the first structured numerical approach for computing trap positions and timings via optimal control to produce feasible and (nearly) time-optimal trajectories that reveal generic levitated graphics. While previously, feasible trap trajectories needed to be tuned manually for each shape and levitator, relying on trial and error, OptiTrap automates this process by allowing for a systematic exploration of the range of contents that a given levitation display can render. This represents a crucial milestone for future content authoring tools for acoustic levitation displays and advances volumetric displays closer toward real-world applications.
Type: | Proceedings paper |
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Title: | Content Rendering for Acoustic Levitation Displays via Optimal Path Following |
Event: | 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022 |
Location: | Bayreuth, Germany |
Dates: | 12th-16th September 2022 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.15495/EPub_UBT_00006809 |
Publisher version: | https://doi.org/10.15495/EPub_UBT_00006809 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Ultrasonic levitation; Minimum time problems; Path following; Optimal control |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10179179 |
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