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BEAVIS: Balloon Enabled Aerial Vehicle for IoT and Sensing

Published: 02 October 2023 Publication History

Abstract

UAVs are becoming versatile and valuable platforms for various applications. However, the main limitation is their flying time. We present BEAVIS, a novel aerial robotic platform striking an unparalleled trade-off between the maneuverability of drones and the long-lasting capacity of blimps. BEAVIS scores highly in applications where drones enjoy unconstrained mobility yet suffer from limited lifetime. A nonlinear flight controller exploiting novel, unexplored, aerodynamic phenomena to regulate the ambient pressure and enable all translational and yaw degrees of freedom is proposed without direct actuation in the vertical direction. BEAVIS has built-in rotor fault detection and tolerance. We explain the design and the necessary background in detail. We verify the dynamics of BEAVIS and demonstrate its distinct advantages, such as agility, over existing platforms including the degrees of freedom akin to a drone with 11.36× increased lifetime. We exemplify the potential of BEAVIS to become an invaluable platform for many applications.

References

[1]
2022. Commercial Blimp: H-aero ZERO. https://h-aero.com/en
[2]
2022. Tonga volcano: Internet restored five weeks after eruption. https://www.bbc.com/news/world-asia-60458303
[3]
Mikhail Afanasov, Alessandro Djordjevic, Feng Lui, and Luca Mottola. 2019. FlyZone: A testbed for experimenting with aerial drone applications. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services. 67--78.
[4]
Allan Alasdair. 2019. Open Source Blimp design: Blimpduino. https://www.hackster.io/news/introducing-the-blimpduino-2-d551f4270084
[5]
Ansys Software. [n.d.]. Ansys Fluent. https://www.ansys.com/products/fluids/ansys-fluent
[6]
BEAVIS. 2022. BEAVIS video demonstration. https://youtu.be/cPUoosE60To Created: 2022-8-19.
[7]
Ali Bekar, Michail Antoniou, and Christopher J Baker. 2021. Low-Cost, High-Resolution, Drone-Borne SAR Imaging. IEEE Transactions on Geoscience and Remote Sensing (2021).
[8]
Mark Bergen. 2022. Tech Companies Want More Eyes in the Sky for Wildfire Season. https://www.bloomberg.com/news/articles/2022-06-24/tech-companies-want-more-eyes-in-the-sky-for-wildfire-season
[9]
E. Bregu et al. 2016. Reactive Control of Autonomous Drones. In Proceedings of ACM MobiSys, Singapore, June 26--30, 2016.
[10]
M. Burri, L. Gasser, M. Käch, M. Krebs, S. Laube, A. Ledergerber, D. Meier, R. Michaud, L. Mosimann, L. Müri, C. Ruch, A. Schaffner, N. Vuilliomenet, J. Weichart, K. Rudin, S. Leutenegger, J. Alonso-Mora, R. Siegwart, and P. Beardsley. 2013. Design and control of a spherical omnidirectional blimp. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1873--1879.
[11]
Osama M. Bushnaq, Mustafa A. Kishk, Abdulkadir Celik, Mohamed-Slim Alouini, and Tareq Y. Al-Naffouri. 2021. Optimal Deployment of Tethered Drones for Maximum Cellular Coverage in User Clusters. IEEE Transactions on Wireless Communications 20, 3 (2021), 2092--2108.
[12]
N. Dalal and B. Triggs. 2005. Histograms of oriented gradients for human detection. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Vol. 1. 886--893 vol. 1.
[13]
Pasquale Daponte, Luca De Vito, Gianluca Mazzilli, Francesco Picariello, Sergio Rapuano, and Maria Riccio. 2015. Metrology for drone and drone for metrology: Measurement systems on small civilian drones. In IEEE Metrology for Aerospace. 306--311.
[14]
Dario Floreano and Robert J Wood. 2015. Science, technology and the future of small autonomous drones. Nature 521, 7553 (2015), 460.
[15]
Eitan Frachtenberg. 2019. Practical drone delivery. IEEE Computer 52, 12 (2019), 53--57.
[16]
Jie Gong, Tsung-Hui Chang, Chao Shen, and Xiang Chen. 2018. Flight Time Minimization of UAV for Data Collection Over Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications 36, 9 (2018), 1942--1954.
[17]
Marina González-Álvarez, Julien Dupeyroux, Federico Corradi, and Guido C.H.E. De Croon. 2022. Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. In 2022 International Conference on Robotics and Automation (ICRA). 85--90.
[18]
Vikram Iyer, Maruchi Kim, Shirley Xue, Anran Wang, and Shyamnath Gollakota. 2020. Airdropping Sensor Networks from Drones and Insects. Association for Computing Machinery, New York, NY, USA.
[19]
Wael Jaafar and Halim Yanikomeroglu. 2021. Dynamics of Laser-Charged UAVs: A Battery Perspective. IEEE Internet of Things Journal 8, 13 (2021), 10573--10582.
[20]
Karan P. Jain, Jerry Tang, Koushil Sreenath, and Mark W. Mueller. 2020. Staging energy sources to extend flight time of a multirotor UAV. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1132--1139.
[21]
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, and Anirudh Badam. 2021. Visage: Enabling Timely Analytics for Drone Imagery. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom '21). Association for Computing Machinery, 789--803.
[22]
Mustafa Kishk, Ahmed Bader, and Mohamed-Slim Alouini. 2020. Aerial Base Station Deployment in 6G Cellular Networks Using Tethered Drones: The Mobility and Endurance Tradeoff. IEEE Vehicular Technology Magazine 15, 4 (2020), 103--111.
[23]
Benny Kosarnovsky and Shai Arogeti. 2020. Geometric and constrained control for a string of tethered drones. Robotics and Autonomous Systems 133 (2020), 103609.
[24]
Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko, and Mohamed-Slim Alouini. 2020. A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time. IEEE Transactions on Wireless Communications 19, 3 (2020), 1610--1621.
[25]
Xiong Li, Jiawei Tan, Anfeng Liu, Pandi Vijayakumar, Neeraj Kumar, and Mamoun Alazab. 2021. A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control. IEEE Transactions on Intelligent Transportation Systems 22, 4 (2021), 2100--2110.
[26]
Yi Lin, Juha Hyyppä, and Anttoni Jaakkola. 2010. Mini-UAV-borne LIDAR for fine-scale mapping. IEEE Geoscience and Remote Sensing Letters 8, 3 (2010), 426--430.
[27]
Maxim Lu, Mehdi Bagheri, Alex P. James, and Toan Phung. 2018. Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension. IEEE Access 6 (2018), 29865--29884.
[28]
Mehrdad Moradi, Karthikeyan Sundaresan, Eugene Chai, Sampath Rangarajan, and Z. Morley Mao. 2018. SkyCore: Moving Core to the Edge for Untethered and Reliable UAV-Based LTE Networks. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom '18). Association for Computing Machinery, 35--49.
[29]
Masahiko Nagai, Tianen Chen, Ryosuke Shibasaki, Hideo Kumagai, and Afzal Ahmed. 2009. UAV-borne 3-D mapping system by multisensor integration. IEEE Transactions on Geoscience and Remote Sensing 47, 3 (2009), 701--708.
[30]
Daniele Palossi, Andres Gomez, Stefan Draskovic, Andrea Marongiu, Lothar Thiele, and Luca Benini. 2019. Extending the lifetime of nano-blimps via dynamic motor control. Journal of Signal Processing Systems 91, 3 (2019), 339--361.
[31]
Hartmut Surmann, Tiffany Kaiser, Artur Leinweber, Gerhard Senkowski, Dominik Slomma, and Marc Thurow. 2021. Small Commercial UAVs for Indoor Search and Rescue Missions. In IEEE International Conference on Automation, Robotics and Applications. 106--113.
[32]
Qiuyang Tao, Tun Jian Tan, Jaeseok Cha, Ye Yuan, and Fumin Zhang. 2021. Modeling and control of swing oscillation of underactuated indoor miniature autonomous blimps. Unmanned Systems 9, 01 (2021), 73--86.
[33]
Keigo Watanabe, Naoto Okamura, and Isakau Nagai. 2015. Closed-loop control experiments for a blimp robot consisting of four-divided envelopes. In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. 002568--002573.
[34]
Wataru Yamada, Hiroyuki Manabe, and Daizo Ikeda. 2019. ZeRONE: Safety Drone with Blade-Free Propulsion. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, 1--8.
[35]
Dilan Yavuz, Hürkan Akbıyık, and Erkan Bostancı. 2016. Intelligent drone navigation for search and rescue operations. In IEEE Signal Processing and Communication Application Conference. 565--568.
[36]
Diana Zhang, Jingxian Wang, Junsu Jang, Junbo Zhang, and Swarun Kumar. 2019. On the Feasibility of Wi-Fi Based Material Sensing. In The 25th Annual International Conference on Mobile Computing and Networking (MobiCom '19). Association for Computing Machinery, Article 41, 16 pages.
[37]
Xiaowei Zhou, Sikang Liu, Georgios Pavlakos, Vijay Kumar, and Kostas Daniilidis. 2018. Human motion capture using a drone. In IEEE international conference on robotics and automation. 2027--2033.
[38]
Yanzi Zhu, Yibo Zhu, Ben Y. Zhao, and Haitao Zheng. 2015. Reusing 60GHz Radios for Mobile Radar Imaging. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (MobiCom '15). Association for Computing Machinery, 103--116.

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  • (2024)A Morphing Quadrotor-Blimp With Balloon Failure Resilience for Mobile Ecological SensingIEEE Robotics and Automation Letters10.1109/LRA.2024.34060619:7(6408-6415)Online publication date: Jul-2024

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cover image ACM Conferences
ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
October 2023
1605 pages
ISBN:9781450399906
DOI:10.1145/3570361
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 02 October 2023

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Author Tags

  1. UAV
  2. drones
  3. blimps
  4. aerial robots
  5. aerial sensing

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  • (2024)A Morphing Quadrotor-Blimp With Balloon Failure Resilience for Mobile Ecological SensingIEEE Robotics and Automation Letters10.1109/LRA.2024.34060619:7(6408-6415)Online publication date: Jul-2024

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