all AI news
SO(2)-Equivariant Downwash Models for Close Proximity Flight
March 27, 2024, 4:43 a.m. | H. Smith, A. Shankar, J. Gielis, J. Blumenkamp, A. Prorok
cs.LG updates on arXiv.org arxiv.org
Abstract: Multirotors flying in close proximity induce aerodynamic wake effects on each other through propeller downwash. Conventional methods have fallen short of providing adequate 3D force-based models that can be incorporated into robust control paradigms for deploying dense formations. Thus, learning a model for these downwash patterns presents an attractive solution. In this paper, we present a novel learning-based approach for modelling the downwash forces that exploits the latent geometries (i.e. symmetries) present in the problem. …
abstract arxiv control cs.ai cs.lg cs.ro effects flying patterns robust through type
More from arxiv.org / cs.LG updates on arXiv.org
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
2 days, 10 hours ago |
arxiv.org
Bagging Provides Assumption-free Stability
2 days, 10 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO
@ Eurofins | Pueblo, CO, United States
Camera Perception Engineer
@ Meta | Sunnyvale, CA