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This folder contains data, videos, and supplementary material for the article titled "Distributed Predictive Drone Swarms in Cluttered Environments". In the article, we present a Distributed Model Predictive Control (DMPC) algorithm for drone swarm navigation in two types of cluttered environments, i.e., a forest and a funnel-like environment. The material in `zenodo_upload` is organized as follows. 1. a data folder, with the logs of simulation and hardware experiments; 2. an analysis folder, with Matlab scripts that analyze the logs in the data folder; 3. a plotting folder, with Matlab functions used by the analysis scripts; 4. an mp4 video file, on simulation and hardware experiments; 5. a pdf, with supplementary materials. The `qp_swarm` folder contains MATLAB code for simulation experiments.
aerial swarms, optimal control, model predictive control, DMPC, drone swarms, collision avoidance
aerial swarms, optimal control, model predictive control, DMPC, drone swarms, collision avoidance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 101 | |
downloads | 53 |