Skip to main content

QuadCloud: A Rapid Response Force with Quadrotor Teams

  • Chapter
  • First Online:
Experimental Robotics

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 109))

Abstract

We describe the component technologies, the architecture and system design, and experimentation with a team of flying robots that can respond to emergencies or security threats where there is urgent need for situational awareness. We envision the team being launched either by high level commands from a dispatcher or automatically triggered by a threat detection system (for example, an alarm). Our first response team consists of autonomous quadrotors with downward-facing cameras that can navigate to a designated location in an urban environment and develop a integrated picture of areas around a building or a city block. We specifically address the design of the platform capable of autonomous navigation at speeds of over 30 mph, the control and estimation software, the algorithms for trajectory planning and allocation of robots to specific tasks, and a user interface that allows the specification of tasks with a situational awareness display.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.marketresearchmedia.com/?p=509.

  2. 2.

    http://www.dji.com.

  3. 3.

    http://www.asctec.de.

References

  1. Achtelik, M., Achtelik, M., Weiss, S., Siegwart, R.: Onboard IMU and monocular vision based control for MAVs in unknown in- and outdoor environments. In: IEEE International Conference on Robotics and Automation (ICRA) (2011)

    Google Scholar 

  2. Ars Electronica: Spaxels–Ars Electronica Quadcopter Swarm. http://www.aec.at/spaxels/en

  3. Bouabdallah, S., Siegwart, R.: Full control of a quadrotor. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 153–158 (2007)

    Google Scholar 

  4. Envarli, I.C., Adams, J.A.: Task lists for human-multiple robot interaction. In: IEEE International Workshop on Robot and Human Interactive Communication, 2005, pp. 119–124. IEEE (2005)

    Google Scholar 

  5. Erdmann, M., Lozano-Perez, T.: On multiple moving objects. In: 1986 IEEE International Conference on Robotics and Automation. vol. 3, pp. 1419–1424 (1986)

    Google Scholar 

  6. Hoffmann, G.M., Rajnarayan, D.G., Waslander, S.L., Dostal, D., Jang, J.S., Tomlin, C.J.: The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC). In: The 23rd Digital Avionics Systems Conference, pp. 12.E.4/1–10. IEEE (2004)

    Google Scholar 

  7. Huang, H., Hoffmann, G., Waslander, S., Tomlin, C.: Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering. In: 2009 IEEE International Conference on Robotics and Automation (ICRA), pp. 3277–3282 (2009)

    Google Scholar 

  8. Karney, C.F.F.: GeographicLib library. http://geographiclib.sf.net/

  9. Kushleyev, A., Mellinger, D., Kumar, V.: Towards a swarm of agile micro quadrotors. In: Robotics: Science and Systems (2012)

    Google Scholar 

  10. Latombe, J.C.: Robot motion planning (1991)

    Google Scholar 

  11. Lee, T., Leok, M., McClamroch, N.H.: Geometric tracking control of a quadrotor UAV on SE(3). In: 2010 49th IEEE Conference on Decision and Control (CDC), pp. 5420–5425 (2010)

    Google Scholar 

  12. Leishman, R.C., Macdonald, J.C., Beard, R.W., McLain, T.W.: Quadrotors and accelerometers: state estimation with an improved dynamic model. IEEE Control Syst. Mag. 34(1), 28–41 (2014)

    Article  MathSciNet  Google Scholar 

  13. Lindsey, Q., Mellinger, D., Kumar, V.: Construction with quadrotor teams. Auton. Robots 33(3), 323–336 (2012)

    Article  Google Scholar 

  14. Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20–32 (2012)

    Article  Google Scholar 

  15. Mellinger, D., Kumar, V.: Minimum snap trajectory generation and control for quadrotors. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 2520–2525. Shanghai (2011)

    Google Scholar 

  16. Michael, N., Mellinger, D., Lindsey, Q., Kumar, V.: The GRASP multiple micro-UAV testbed. IEEE Robot. Autom. Mag. 17(3), 56–65 (2010)

    Article  Google Scholar 

  17. Shen, S., Mulgaonkar, Y., Michael, N., Kumar, V.: Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV. In: IEEE International Conference on Robotics and Automation, Hong Kong (2014)

    Google Scholar 

  18. Shen, S., Michael, N., Kumar, V.: Autonomous multi-floor indoor navigation with a computationally constrained mav. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 20–25 (2011)

    Google Scholar 

  19. Turpin, M., Michael, N., Kumar, V.: Concurrent assignment and planning of trajectories for large teams of interchangeable robots. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 842–848. Karlsruhe (2013a)

    Google Scholar 

  20. Turpin, M., Mohta, K., Michael, N., Kumar, V.: Goal assignment and trajectory planning for large teams of aerial robots. In: Proceedings of Robotics: Science and Systems. Berlin (2013b)

    Google Scholar 

Download references

Acknowledgments

We are grateful for the support of ARL grant W911NF-08-2-0004, ONR grants N00014-07-1-0829, N00014-09-1-1051 and N00014-09-1-103, NSF grants PFI-1113830 and IIS-1138847, and TerraSwarm, one of six centers of STARnet, a Semiconductor Research Corporation program sponsored by MARCO and DARPA.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kartik Mohta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Mohta, K., Turpin, M., Kushleyev, A., Mellinger, D., Michael, N., Kumar, V. (2016). QuadCloud: A Rapid Response Force with Quadrotor Teams. In: Hsieh, M., Khatib, O., Kumar, V. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-319-23778-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23778-7_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23777-0

  • Online ISBN: 978-3-319-23778-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics