Super-ellipsoidal Potential Function for Autonomous Collision Avoidance of a Teleoperated UAV

Authors: Mohammed Qasim, Kyoung-Dae Kim

Abstract:

In this paper, we present the design of the super-ellipsoidal potential function (SEPF), that can be used for autonomous collision avoidance of an unmanned aerial vehicle (UAV) in a 3-dimensional space. In the design of SEPF, we have the full control over the shape and size of the potential function. In particular, we can adjust the length, width, height, and the amount of flattening at the tips of the potential function so that the collision avoidance motion vector generated from the potential function can be adjusted accordingly. Based on the idea of the SEPF, we also propose an approach for the local autonomy of a UAV for its collision avoidance when the UAV is teleoperated by a human operator. In our proposed approach, a teleoperated UAV can not only avoid collision autonomously with other surrounding objects but also track the operator’s control input as closely as possible. As a result, an operator can always be in control of the UAV for his/her high-level guidance and navigation task without worrying too much about the UAVs collision avoidance while it is being teleoperated. The effectiveness of the proposed approach is demonstrated through a human-in-the-loop simulation of quadrotor UAV teleoperation using virtual robot experimentation platform (v-rep) and Matlab programs.

Keywords: Artificial potential function, autonomy, collision avoidance, teleoperation, quadrotor, UAV.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338810

References:

[1] S.R. Barros dos Santos, C.L. Nascimento, S.N. Givigi, ”Design of attitude and path tracking controllers for quad-rotor robots using reinforcement learning,” in Aerospace Conference, 2012 IEEE , vol., no., pp.1-16, 3-10 March 2012.
[2] R. He, S. Prentice, and N. Roy, Planning in information space for a quadrotor helicopter in a gps-denied environment, in Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on, 2008, pp. 18141820.
[3] L. Garcia-Delgado, A. Dzul, V. Santibanez, M. Llama, ”Quad-rotors formation based on potential functions with obstacle avoidance,” in Control Theory and Applications, IET , vol.6, no.12, pp.1787-1802, Aug. 16 2012.
[4] B. Hui, S. Shihuang, W. Hongyu, ”A VTOL quadrotor platform for multi-UAV path planning,” in Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on , vol.6, no., pp.3079-3081, 12-14 Aug. 2011.
[5] C. Masone, A. Franchi, H.H. Bulthoff, P.R. Giordano, ”Interactive planning of persistent trajectories for human-assisted navigation of mobile robots,” Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on , vol., no., pp.2641,2648, 7-12 Oct. 2012.
[6] C. P. G. Niemeyer and G. Hirzinger, Telerobotics, in Springer Handbook of Robotics, B. Siciliano and O. Khatib, Eds. Springer, 2008, pp. 741757.
[7] A. Franchi, C. Secchi, M. Ryll, H.H. Blthoff, and P.R. Giordano, Shared control: Balancing autonomy and human assistance with a group of quadrotor UAVs. IEEE Robotics and Automation Magazine, vol. 19, no. 3, 2012.
[8] T. M. Lam, H. W. Boschloo, M. Mulder, and M. M. V. Paassen, Artificial force field for haptic feedback in UAV teleoperation, IEEE Trans. on Systems, Man, and Cybernetics. Part A: Systems and Humans, vol. 39, no. 6, pp. 13161330, 2009.
[9] N. Diolaiti and C. Melchiorri, Tele-operation of a mobile robot through haptic feedback, in Proc. IEEE Int. Workshop HAVE, Ottawa, ON, Canada, Nov. 1718, 2002, pp. 6772.
[10] P. Stegagno, M. Basile, H.H. Bulthoff, A. Franchi, ”A semi-autonomous UAV platform for indoor remote operation with visual and haptic feedback,” Robotics and Automation (ICRA), 2014 IEEE International Conference on , vol., no., pp.3862,3869, May 31 2014-June 7 2014.
[11] F. Rehmatullah, J. Kelly, ”Vision-Based Collision Avoidance for Personal Aerial Vehicles Using Dynamic Potential Fields,” in Computer and Robot Vision (CRV), 2015 12th Conference on , vol., no., pp.297-304, 3-5 June 2015.
[12] M. Nieuwenhuisen, D. Droeschel, J. Schneider, D. Holz, T. Labe, and S. Behnke, Multimodal obstacle detection and collision avoidance for micro aerial vehicles, in Mobile Robots (ECMR), 2013 European Conference on. IEEE, 2013, pp. 712.
[13] C. Masone, P. Robuffo Giordano, H. H. Blthoff, and A. Franchi, Semi-autonomous trajectory generation for mobile robots with integral haptic shared control, in 2014 IEEE Int. Conf. on Robotics and Automation, Hong Kong, China, May. 2014.
[14] S. Stramigioli, R. Mahony, and P. Corke, A novel approach to haptic tele-operation of aerial robot vehicles, in 2010 IEEE Int. Conf. on Robotics and Automation, Anchorage, AK, May 2010, pp. 53025308.
[15] A. Y. Mersha, S. Stramigioli, and R. Carloni, Switching-based mapping and control for haptic teleoperation of aerial robots, in 2012 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Vilamoura, Portugal, Oct. 2012, pp. 26292634.
[16] H. Rifa, M. D. Hua, T. Hamel, and P. Morin, Haptic-based bilateral teleoperation of underactuated unmanned aerial vehicles, in 18th IFAC World Congress, Milano, Italy, Aug. 2011, pp. 13 78213 788.
[17] S. Omari, M. D. Hua, G. J. J. Ducard, and T. Hamel, Bilateral haptic teleoperation of VTOL UAVs, in 2013 IEEE Int. Conf. on Robotics and Automation, Karlsruhe, Germany, May 2013, pp. 23852391.
[18] D. Lee, A. Franchi, P. Robuffo Giordano, H. I. Son, and H.H. Blthoff, ”Semiautonomous Haptic Teleoperation Control Architecture of Multiple Unmanned Aerial Vehicles,” in Mechatronics, IEEE/ASME Transactions on , vol.18, no.4, pp.1334-1345, Aug. 2013.
[19] D. Lee, A. Franchi, P. Robuffo Giordano, H. I. Son, and H.H. Blthoff, Haptic teleoperation of multiple unmanned aerial vehicles over the internet, in 2011 IEEE Int. Conf. on Robotics and Automation, Shanghai, China, May 2011, pp. 13411347.
[20] E. J. Rodriguez-Seda, J. J. Troy, C. A. Erignac, P. Murray, D. M. Stipanovic, and M. W. Spong, Bilateral teleoperation of multiple mobile agents: Coordinated motion and collision avoidance, IEEE Trans. Control Syst. Technol., vol. 18, no. 4, pp. 984992, Jul. 2010.
[21] A. M. Brandt and M. B. Colton, Haptic collision avoidance for a remotely operated quadrotor uav in indoor environments, in Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on, 2010, pp. 27242731.
[22] J. Mendes, R. Ventura, ”Safe teleoperation of a quadrotor using FastSLAM,” Safety, Security, and Rescue Robotics (SSRR), 2012 IEEE International Symposium on , vol., no., pp.1,6, 5-8 Nov. 2012.
[23] J. Israelsen, M. Beall, D. Bareiss, D. Stuart, E. Keeney, J. van den Berg, ”Automatic collision avoidance for manually tele-operated unmanned aerial vehicles,” in Robotics and Automation (ICRA), 2014 IEEE International Conference on , vol., no., pp.6638-6643, May 31 2014-June 7 2014.
[24] O. Khatib, Real-time obstacle avoidance for manipulators and mobile robots, Int. J. Robot. Res., vol. 5, no. 1, pp. 9098, 1986.
[25] M. Howie, Choset, ”Principles of robot motion: theory, algorithms, and implementation,” MIT press, 2005.