Abstract
The paper presents a robust control law for homing of an autonomous robot. The proposed work aims to solve this problem for practical conditions such as random errors in commanded velocities and unknown distance sensor characteristics. The proposed steering control aligns the robot’s orientation with homing vector using arbitrary real valued distance function providing the capability to work in changing environment conditions. Finite time convergence to the equilibrium using proposed control law is achieved in the presence of bounded random velocity errors regardless of the initial position and orientation. Just the sign information as feedback supports applicability of proposed control law with any distance function. A matching parameter between panoramic images obtained at home and current positions is a function of distance between home and current positions. However, explicit relation between distance and image matching parameter is unknown. This work demonstrates the application of proposed method for visual homing based on image distance function rendering the benefit of minimal image processing. Various simulation and experimental results are presented for visual homing to support the theory presented in this paper. Advantage of proposed visual homing is also explored in changing environment conditions.
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Barbosa, J., Cardeira, C., Oliveira, P., Batista, P., Silvestre, C.: Design and validation of an RGB-D based localization system - integration in a docking system. J. Intel. Robot. Syst. 80(3), 423–440 (2015)
Tron, R., Daniilidis, K.: An optimization approach to bearing-only visual homing with applications to a 2-D unicycle model. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 4235–4242 (2014)
Aicardi, M., Casalino, G., Bicchi, A., Balestrino, A.: Closed loop steering of unicycle like vehicles via lyapunov techniques. IEEE Trans. Robot. Autom. Mag. 2(1), 27–35 (1995)
Blažič, S.: On periodic control laws for mobile robots. IEEE Trans. Ind. Electron. 61(7), 3660–3670 (2014)
Das, A.K., Fierro, R., Kumar, V., Ostrowski, J.P., Spletzer, J., Taylor, C.J.: A vision-based formation control framework. IEEE Trans. Robot. Autom. 18(5), 813–825 (2002)
Ferreira, B.M., Matos, A.C., Cruz, N.A., Moreira, A.P.: Homing a robot with range-only measurements under unknown drifts. Robot. Auton. Syst. 67, 3–13 (2015)
Churchill, D., Vardy, A.: An orientation invariant visual homing algorithm. J. Intel. Robot. Syst. Theory Appl. 71, 3–29 (2013)
Ramisa, A., Goldhoorn, A., Aldavert, D., Toledo, R., De Mantaras, R.L.: Combining invariant features and the ALV homing method for autonomous robot navigation based on panoramas. J. Intel. Robot. Syst. Theory Appl. 64(3-4), 625–649 (2011)
Liu, M., Pradalier, C., Siegwart, R.: Visual homing from scale with an uncalibrated omnidirectional camera. IEEE Trans. Robot. 29(6), 1353–1365 (2013)
Sturzl, W., Mallota, H.A.: Efficient visual homing based on fourier transformed panoramic images. IEEE Trans. Robot. Autonom. Syst. 54, 300–313 (2006)
Bonora, J.F., Gallardo, D.: Visual homing navigation with two landmarks: the balanced proportional triangulation method. In: Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2289–2295 (2006)
Zeil, J., Hofmann, M.I., Chahl, J.S.: Catchment areas of panoramic snapshots in outdoor scenes. J. Opt. Soc. Amer. 20(3), 450–469 (2003)
Moller, R., Vardy, A.: Local visual homing by matched filter descent in image distances. Biol. Cybern. 413–430 (2006)
Labrosse, F.: Short and long-range visual navigation using warped panoramic images. IEEE Trans. Robot. Autonom. Syst. 55(9), 675–684 (2007)
Kim, P., Szenher, M., Webb, B.: Entropy based visual homing. In: Proceedings of the IEEE International Conference on Mechatronics and Automation, pp. 3601–3606 (2009)
Marriottini, G.L., Prattichizzo, D.: Image based visual servoing with central catadioptric camera. Int. J. Robot. Res. 27, 41–57 (2008)
Guelman, M.: The closed form solution of true proportional navigation. IEEE Trans. Aerosp. Electron. Syst. 472–482 (1976)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Pearson Prentice Hall (2007)
Vardy, A.: Image database. http://www.ti.uni-bielefeld.de/html/research/databases/ (2005)
Image database using multiple cameras. http://www.sc.iitb.ac.in/~leena/vh/Image_database/ (2015)
Vardy, A., Moller, R.: Biologically plausible visual homing methods based on optical flow techniques. Connect. Sci. Spec. Issue Navi. 17(1-2), 47–89 (2005)
Lowe, D.: SIFT keypoint detector. http://www.cs.ubc.ca/~lowe/keypoints (2005)
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Arunkumar G. K., Sabnis, A. & Vachhani, L. Robust Steering Control for Autonomous Homing and its Application in Visual Homing under Practical Conditions. J Intell Robot Syst 89, 403–419 (2018). https://doi.org/10.1007/s10846-017-0561-2
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DOI: https://doi.org/10.1007/s10846-017-0561-2