Abstract
Visual navigation, mapping, obstacle avoidance and autonomous operation are becoming increasingly commercially available in flying robots. Recent research in control of flying robots has therefore shifted beyond sensor based trajectory tracking towards physical interaction and manipulation control. However, current research mainly focuses on specialized interaction cases under indoor or hovering conditions. Furthermore, the problem of physical interaction control for entire robot swarms operating under different control objectives is essentially unexplored terrain, as is the systematic treatment of disturbances and faults for both single and swarm systems, respectively. In this position paper, we argue that robust operation of interacting flying robots requires systematic handling of interactions and external inputs such as faults from individual robot to swarm level. For this, we introduce a scalable awareness methodology for interaction, disturbance and fault handling resulting in the awareness pipeline scheme. Another algorithmic key element for unification is the extension of well established methods from operational space and multipriority robot control to this system class, potentially leading to novel controls and skills of flying robot swarms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Acosta, J.A., de Cos, C.R., Ollero, A.: A robust decentralised strategy for multi-task control of unmanned aerial systems. Application on underactuated aerial manipulator. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1075–1084 (2016)
Alexis, K., Darivianakis, G., Burri, M., Siegwart, R.: Aerial robotic contact-based inspection: planning and control. Auton. Robot. 40(4), 631–655 (2016)
Antonelli, G., Arrichiello, F., Chiaverini, S.: The null-space-based behavioral control for autonomous robotic systems. Intell. Serv. Robot. 1(1), 27–39 (2008)
Augugliaro, F., D’Andrea, R.: Admittance control for physical human-quadrocopter interaction. In: Control Conference (ECC). 2013 European, pp. 1805–1810. Zürich, Switzerland (2013)
Augugliaro, F., Lupashin, S., Hamer, M., Male, C., Hehn, M., Mueller, M.W., Willmann, J.S., Gramazio, F., Kohler, M., D’Andrea, R.: The flight assembled architecture installation: cooperative construction with flying machines. IEEE Control Syst. 34(4), 46–64 (2014)
Baizid, K., Giglio, G., Pierri, F., Trujillo, M.A., Antonelli, G., Caccavale, F., Viguria, A., Chiaverini, S., Ollero, A.: Behavioral control of unmanned aerial vehicle manipulator systems. Auton. Robot. 41(5), 1203–1220 (2017)
Bangura, M., Lim, H., Kim, H.J., Mahony, R.: Aerodynamic Power Control for Multirotor Aerial Vehicles. In: ICRA 2014, pp. 529–536. Hong Kong, China (2014)
Bangura, M., Mahony, R.: Thrust control for multirotor aerial vehicles. IEEE Trans. Robot. 33, accepted (2017)
Bellens, S., De Schutter, J., Bruyninckx, H.: A hybrid pose/wrench control framework for quadrotor helicopters. ICRA 2012, 2269–2274 (2012)
Bernard, M., Kondak, K.: Generic slung load transportation system using small size helicopters. In: IEEE International Conference on Robotics and Automation, ICRA’09, pp. 3258–3264. IEEE (2009)
Brescianini, D., D’Andrea, R.: Design, modeling and control of an omni-directional aerial vehicle. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 3261–3266. IEEE (2016)
Briod, A., Kornatowski, P., Klaptocz, A., Garnier, A., Pagnamenta, M., Zufferey, J.C., Floreano, D.: Contact-based navigation for an autonomous flying robot. IROS 2013, 3987–3992 (2013)
Bruschi, P., Piotto, M., Dell’Agnello, F., Ware, J., Roy, N.: Wind speed and direction detection by means of solid-state anemometers embedded on small quadcopters. Procedia Eng. 168, 802–805 (2016)
Davis, E., Pounds, P.E.I.: Direct sensing of thrust and velocity for a quadrotor rotor array. IEEE Robot. Autom. Lett. 2(3), 1360–1366 (2017)
De Luca, A., Albu-Schaffer, A., Haddadin, S., Hirzinger, G.: Collision detection and safe reaction with the dlr-iii lightweight manipulator arm. IROS 2006, 1623–1630 (2006)
Ding, S.: Model-based fault diagnosis techniques: design schemes, algorithms, and tools. Springer Science & Business Media, Berlin (2008)
Franchi, A., Secchi, C., Ryll, M., Bülthoff, H., Giordano, P.R.: Shared control: Balancing autonomy and human assistance with a group of quadrotor uavs. IEEE Robot. Autom. Mag. 19(3) (2012)
Fumagalli, M., Naldi, R., Macchelli, A., Forte, F., Keemink, A.Q.L., Stramigioli, S., Carloni, R., Marconi, L.: Developing an aerial manipulator prototype: physical interaction with the environment. IEEE Robot. Autom. Mag. 21(3), 41–50 (2014)
Gioioso, G., Franchi, A., Salvietti, G., Scheggi, S., Prattichizzo, D.: The flying hand: a formation of uavs for cooperative aerial tele-manipulation. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 4335–4341 (2014)
Gustafsson, F., Gustafsson, F.: Adaptive filtering and change detection, vol. 1. Wiley, New York (2000)
Haddadin, S., Luca, A.D., Albu-Schäffer, A.: Robot collisions: a survey on detection, isolation, and identification. IEEE Trans. Robot. PP(99), 1–21 (2017)
Khatib, O.: A unified approach for motion and force control of robot manipulators: the operational space formulation. IEEE J. Robot. Autom. 3(1), 43–53 (1987)
Li, S., Yang, J., Chen, W.H., Chen, X.: Disturbance Observer-Based Control: Methods and Applications, 1st edn. CRC Press Inc, Boca Raton (2014)
Mellinger, D., Lindsey, Q., Shomin, M., Kumar, V.: Design, modeling, estimation and control for aerial grasping and manipulation. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 2668–2673 (2011)
Mellinger, D., Shomin, M., Michael, N., Kumar, V.: Cooperative grasping and transport using multiple quadrotors. In: Distributed autonomous robotic systems, pp. 545–558. Springer (2013)
Mersha, A.Y., Stramigioli, S., Carloni, R.: Variable impedance control for aerial interaction. In: IROS2014, pp. 3435–3440. IEEE (2014)
Michael, N., Fink, J., Kumar, V.: Cooperative manipulation and transportation with aerial robots. Auton. Robot. 30(1), 73–86 (2011)
Mueller, M.W., D’Andrea, R.: Stability and control of a quadrocopter despite the complete loss of one, two, or three propellers. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 45–52. IEEE (2014)
Muscio, G., Pierri, F., Trujillo, M.A., Cataldi, E., Giglio, G., Antonelli, G., Caccavale, F., Viguria, A., Chiaverini, S., Ollero, A.: Experiments on coordinated motion of aerial robotic manipulators. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1224–1229 (2016)
Olfati-Saber, R.: Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans. Autom. Control. 51(3), 401–420 (2006)
Olfati-Saber, R., Fax, J.A., Murray, R.M.: Consensus and cooperation in networked multi-agent systems. Proc. IEEE 95(1), 215–233 (2007)
Oung, R., D’Andrea, R.: The distributed flight array: design, implementation, and analysis of a modular vertical take-off and landing vehicle. Int. J. Robot. Res. 33(3), 375–400 (2014)
Papachristos, C., Alexis, K., Tzes, A.: Efficient force exertion for aerial robotic manipulation: exploiting the thrust-vectoring authority of a tri-tiltrotor uav. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 4500–4505 (2014)
Rajappa, S., Ryll, M., Bülthoff, H.H., Franchi, A.: Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 4006–4013 (2015)
Rajappa, S., Bülthoff, H., Stegagno, P.: Design and implementation of a novel architecture for physical human-uav interaction. Int. J. Robot. Res. 0278364917708038 (2017)
Ruggiero, F., Cacace, J., Sadeghian, H., Lippiello, V.: Impedance Control of VToL UAVs with a Momentum-based External Generalized Forces Estimator. In: ICRA 2014, pp. 2093–2099. Hong Kong, China (2014)
Ryll, M., Muscio, G., Pierri, F., Cataldi, E., Antonelli, G, C., F, Franchi, A.: 6d physical interaction with a fully actuated aerial robot. In: 2017 IEEE International Conference on Robotics and Automation (ICRA) (2017)
Ryll, M., Bicego, D., Franchi, A.: Modeling and Control of FAST-Hex: a Fully-Actuated by Synchronized-Tilting Hexarotor. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016. Daejeon, South Korea (2016)
Siciliano, B., Khatib, O.: Springer Handbook of Robotics. Springer, Berlin (2016)
Simani, S., Fantuzzi, C., Patton, R.J.: Model-based fault diagnosis in dynamic systems using identification techniques. Springer Science & Business Media, Berlin (2013)
Sreenath, K., Lee, T., Kumar, V.: Geometric control and differential flatness of a quadrotor uav with a cable-suspended load. In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), pp. 2269–2274. IEEE (2013)
Tomić, T.: Evaluation of acceleration-based disturbance observation for multicopter control. In: 2014 European Control Conference (ECC), pp. 2937–2944. Strasbourg, France (2014)
Tomić, T., Haddadin, S.: A unified framework for external wrench estimation, interaction control and collision reflexes for flying robots. In: IROS 2014, pp. 5290–5296. IEEE, Chicago, IL, USA (2014)
Tomić, T., Haddadin, S.: Simultaneous estimation of aerodynamic and contact forces in flying robots: applications to metric wind estimation and collision detection. In: ICRA 2015, pp. 5290–5296. Seattle, WA, USA (2015)
Tomić, T., Ott, C., Haddadin, S.: External wrench estimation, collision detection, and reflex reaction for flying robots. IEEE Trans. Robot. PP(99), 1–17 (2017)
Tomić, T., Schmid, K., Lutz, P., Mathers, A., Haddadin, S.: The flying anemometer: unified estimation of wind velocity from aerodynamic power and wrenches. In: IROS 2016, pp. 1637–1644. IEEE, Daejeon, Korea (2016)
Ware, J., Roy, N.: An analysis of wind field estimation and exploitation for quadrotor flight in the urban canopy layer. In: ICRA 2016, pp. 1507–1514. IEEE (2016)
Waslander, S.L., Wang, C.: Wind disturbance estimation and rejection for quadrotor position control. In: AIAA Infotech@Aerospace Conference. Seattle, WA, USA (2009)
Yao, J.W., Desaraju, V.R., Michael, N.: Experience-based models of surface proximal aerial robot flight performance in wind. In: International Symposium on Experimental Robotics, pp. 563–573. Springer (2016)
Yeo, D.W., Sydney, N., Paley, D.A.: Onboard Flow Sensing for Rotary-Wing UAV Pitch Control in Wind. In: Proceedings of the AIAA GNC Conference, p. 1386 (2016)
Zhao, M., Kawasaki, K., Chen, X., Kakiuchi, Y., Okada, K., Inaba, M.: Transformable Multirotor with Two-Dimensional Multilinks: Modeling, Control, and Whole-Body Aerial Manipulation, pp. 515–524. Springer International Publishing, Cham (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Tomić, T., Haddadin, S. (2020). Towards Interaction, Disturbance and Fault Aware Flying Robot Swarms. In: Amato, N., Hager, G., Thomas, S., Torres-Torriti, M. (eds) Robotics Research. Springer Proceedings in Advanced Robotics, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-28619-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-28619-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-28618-7
Online ISBN: 978-3-030-28619-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)