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Content Rendering for Acoustic Levitation Displays via Optimal Path Following

Title data

Paneva, Viktorija ; Fleig, Arthur ; Martínez Plasencia, Diego ; Faulwasser, Timm ; Müller, Jörg:
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 : held 12-16 September 2022 in Bayreuth. - Bayreuth , 2022
DOI: https://doi.org/10.15495/EPub_UBT_00006809

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Ultrasonic levitation; Minimum time problems; Path following; Optimal control
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
500 Science > 530 Physics
600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 16 Sep 2022 07:14
Last Modified: 23 Mar 2023 12:32
URI: https://eref.uni-bayreuth.de/id/eprint/71866