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Integration of acoustic compliance and noise mitigation in path planning for drones in human–robot collaborative environments.
- Source :
-
Journal of Vibration & Control . Oct2023, Vol. 29 Issue 19/20, p4757-4771. 15p. - Publication Year :
- 2023
-
Abstract
- This work presents a framework aimed at mitigating adverse effects of high-amplitude drone noise ranging from hearing loss to reduced productivity in human–robot collaborative environments by infusing acoustic awareness in a path planning algorithm without imposing any additional design layers or hardware to an operational drone. Following a detailed outline of the proposed approach, it is shown that a significant reduction of noise levels perceived by human workers at noise-sensitive locations is realized via a path planner which generates optimal paths ranging from quietest to shortest paths. The approach is then augmented with a path-correction mechanism which accounts for noise exposure duration to ensure the aforementioned optimal paths are compliant with a given industrial/environmental standard. The correction mechanism enforces an adjustment of subsets of the planned paths inside quiet zones designated around noise-sensitive locations. The presented concepts were verified using numerical simulations conducted for a 2-dimensional rasterized obstacle field followed by a statistical design of experiments. The proposed framework is highly versatile and integrable with widely used industrial path planners, rendering it a highly valuable tool for noisy collaborative workplaces. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10775463
- Volume :
- 29
- Issue :
- 19/20
- Database :
- Academic Search Index
- Journal :
- Journal of Vibration & Control
- Publication Type :
- Academic Journal
- Accession number :
- 172446975
- Full Text :
- https://doi.org/10.1177/10775463221124049