Toward Indoor Autonomous Flight Using a Multi-rotor Vehicle

被引:1
|
作者
Brooks, Connor [1 ]
Goulet, Christopher [1 ]
Galloway, Michael [1 ]
机构
[1] Western Kentucky Univ, Dept Comp Sci, Bowling Green, KY 42101 USA
来源
关键词
Autonomous robotics; Indoor UAVs; MAV control;
D O I
10.1007/978-3-319-32467-8_99
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The objective of the paper is to detail progress toward an indoor autonomous micro aerial vehicle (MAV) that uses a multi-layered hardware and software control architecture. We build a quadrotor MAV with design considerations for indoor use and document the design process. Our design uses a three-layered control system in both the hardware and software components. We focus on using a modular control architecture to allow for individual development of layers. For initial progress toward autonomous flight, we create an automated altitude control program that enables the MAV to hover stably at a given height. Experiments include hovering and directed flight through hallways with obstacles. Initial results provide optimistic feedback for future experiments concerning traversing indoor environments using an autonomous MAV with a three-layered control architecture.
引用
收藏
页码:1145 / 1155
页数:11
相关论文
共 50 条
  • [21] Understanding the omnidirectional capability of a generic multi-rotor aerial vehicle
    Hamandi, Mahmoud
    Sable, Quentin
    Tognon, Marco
    Franchi, Antonio
    1ST AIRPHARO WORKSHOP ON AERIAL ROBOTIC SYSTEMS PHYSICALLY INTERACTING WITH THE ENVIRONMENT (AIRPHARO 2021), 2021,
  • [22] Vision-based Autonomous Landing Control of a Multi-rotor Aerial Vehicle on a Moving Platform with Experimental Validations
    Zhao, Zehong
    Han, Peng
    Xu, Yifeng
    Xie, Wei
    Zhang, Weidong
    Liang, Kejing
    Zeng, Qing
    IFAC PAPERSONLINE, 2022, 55 (03): : 1 - 6
  • [23] Indoor Visual-Based Localization System for Multi-Rotor UAVs
    Bertoni, Massimiliano
    Michieletto, Stefano
    Oboe, Roberto
    Michieletto, Giulia
    SENSORS, 2022, 22 (15)
  • [24] Simulations of multi-rotor interaction noise at hovering & forward flight conditions
    Afari, Samuel O.
    Mankbadi, Reda R.
    INTERNATIONAL JOURNAL OF AEROACOUSTICS, 2023, 22 (1-2) : 153 - 187
  • [25] An Image-Guided Autonomous Navigation System for Multi-rotor UAVs
    Liu, Weiqi
    Zou, Danping
    Sartori, Daniele
    Pei, Ling
    Yu, Wenxian
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2019 PROCEEDINGS, VOL II, 2019, 563 : 513 - 526
  • [26] Improvement of a multi-rotor UAV flight response simulation influenced by gust
    Park, SunHoo
    Lee, Sihun
    Im, Byeonguk
    Lee, Dongyeol
    Shin, SangJoon
    AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 134
  • [27] Reinforcement learning based autonomous multi-rotor landing on moving platforms
    Goldschmid, Pascal
    Ahmad, Aamir
    AUTONOMOUS ROBOTS, 2024, 48 (4-5)
  • [28] Quantification of wake interaction effects on multi-rotor configurations in forward flight
    Ko, Jeongwoo
    Lee, Soogab
    AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 135
  • [29] Development of an Autonomous Multi-Rotor UAV for Outdoor Missions in Unknown Environments
    Tartaglione, Gaetano
    Ariola, Marco
    2017 25TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2017, : 1017 - 1022
  • [30] MUAVET - An Experimental Test-Bed for Autonomous Multi-rotor Applications
    Chudoba, Jan
    Kozak, Viktor
    Preucil, Libor
    MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2018), 2019, 11472 : 16 - 26