CoFlyers: A Universal Platform for Collective Flying of Swarm Drones

无人机 群体行为 计算机科学 植绒(纹理) MATLAB语言 源代码 人工智能 嵌入式系统 程序设计语言 分布式计算 模拟 复合材料 遗传学 生物 材料科学
作者
Jialei Huang,Fakui Wang,Tianjiang Hu
标识
DOI:10.1109/iros55552.2023.10342485
摘要

Swarm drones flying is a very attractive field of robotics research, motivated by natural bird flocking or other animal collective behaviors. In this paper, we propose and develop an open-source 1 1 https://github.com/micros-uav/CoFlyers universal platform CoFlyers for end-to-end whole-chain development from flocking-inspired models to real-drone swarm flying. In particular, CoFlyers is more user-friendly with only a unified programming language of MATLAB&Simulink, rather than several existing platforms with mixed programming languages or more efforts on raw functional modules. The prototype simulator of CoFlyers is implemented in MATLAB, allowing users to quickly develop and prototype swarm flying algorithms, and to conduct task-oriented parameter auto-tuning and batch processing within reproducible scenarios. Moreover, a real-world verification module of swarm drones is developed in Simulink as well, which directly calls the prototype simulator modules for code reuse. It connects the external platforms via a standardized user-datagram-protocol communication in-terface. As a case study, CoFlyers is utilized into a multi-drone collective flying scenario in confined environments, by implementing ROS&PX4&Gazebo for high-fidelity simulation and Optitrack&Tello-drones for experiments. Eventually, both simulation and experimental results have demonstrated and validated the user-friendly practicability of CoFlyers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Megum1n发布了新的文献求助10
刚刚
黄威发布了新的文献求助10
刚刚
lyyyyy发布了新的文献求助10
1秒前
活吞鲨鱼发布了新的文献求助10
3秒前
3秒前
4秒前
无极微光应助lll采纳,获得20
4秒前
万能图书馆应助Rrchard_TANG采纳,获得10
4秒前
Wait发布了新的文献求助10
4秒前
5秒前
mmmin发布了新的文献求助10
6秒前
小马甲应助Charming采纳,获得10
6秒前
范大大完成签到,获得积分10
6秒前
丘比特应助CCH采纳,获得10
7秒前
7秒前
7秒前
不敢自称科研人完成签到,获得积分10
9秒前
9秒前
谨慎老大发布了新的文献求助10
9秒前
10秒前
爆米花应助蔺瑾瑜采纳,获得10
10秒前
10秒前
美丽万声发布了新的文献求助10
10秒前
10秒前
10秒前
10秒前
美狗王完成签到,获得积分10
11秒前
erye完成签到,获得积分10
11秒前
11秒前
文静的蜗牛完成签到,获得积分10
11秒前
123发布了新的文献求助10
12秒前
jj完成签到,获得积分20
12秒前
aaa发布了新的文献求助10
13秒前
sunwei发布了新的文献求助10
13秒前
13秒前
zzz完成签到,获得积分20
13秒前
jinyu完成签到,获得积分10
13秒前
14秒前
Xiwen321发布了新的文献求助10
14秒前
zhaodechang发布了新的文献求助10
15秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6722410
求助须知:如何正确求助?哪些是违规求助? 8458500
关于积分的说明 18058369
捐赠科研通 5975254
什么是DOI,文献DOI怎么找? 2996696
邀请新用户注册赠送积分活动 1972857
关于科研通互助平台的介绍 1926946