Abstract
In this work we describe a simulation environment for an autonomous all-terrain mobile robot. To allow for extensive test and verification of the high-level perception, planning, and trajectory control modules, the low-level control systems, the sensors, and the vehicle dynamics have been modeled and simulated by means of the V-Rep 3D simulator. We discuss the overall, i.e., high and low-level, software architecture and we present some validation experiments in which the behavior of the real system is compared with the corresponding simulations.
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References
Bascetta, L., Magnani, G.A., Rocco, P., Zanchettin, A.M.: Design and implementation of the low-level control system of an all-terrain mobile robot. In: 2009 International Conference on Advanced Robotics (ICAR), pp. 1–6. IEEE (2009)
Bascetta, L., Cucci, D., Magnani, G., Matteucci, M., Osmankovic, D., Tahirovic, A.: Towards the implementation of a mpc-based planner on an autonomous all-terrain vehicle. In: Proceedings of Workshop on Robot Motion Planning: Online, Reactive, and in Real-time (IEEE/RJS IROS 2012), pp. 1–7 (2012), http://cs.stanford.edu/people/tkr/iros2012/schedule.php
Brück, D., Elmqvist, H., Mattsson, S.E., Olsson, H.: Dymola for multi-engineering modeling and simulation. In: Proceedings of Modelica, Citeseer (2002)
Cucci, D.A., Matteucci, M.: Position tracking and sensors self-calibration in autonomous mobile robots by gauss-newton optimization. In: 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE (to appear, 2014)
Cucci, D.A., Matteucci, M.: On the development of a generic multi-sensor fusion framework for robust odometry estimation. Journal of Software Engineering for Robotics 5(1), 48–62 (2014)
Freese, M., Singh, S., Ozaki, F., Matsuhira, N.: Virtual robot experimentation platform V-REP: A versatile 3D robot simulator. In: Ando, N., Balakirsky, S., Hemker, T., Reggiani, M., von Stryk, O. (eds.) SIMPAR 2010. LNCS, vol. 6472, pp. 51–62. Springer, Heidelberg (2010)
Hellstrom, T., Ringdahl, O.: Real-time path planning using a simulator-in-the-loop. International Journal of Vehicle Autonomous Systems 7(1), 56–72 (2009)
Jayakumar, P., Smith, W., Ross, B.A., Jategaonkar, R., Konarzewski, K.: Development of high fidelity mobility simulation of an autonomous vehicle in an off-road scenario using integrated sensor, controller, and multi-body dynamics. Tech. rep., DTIC Document (2011)
Koenig, N., Howard, A.: Design and use paradigms for gazebo, an open-source multi-robot simulator. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), vol. 3, pp. 2149–2154. IEEE (2004)
Kümmerle, R., Grisetti, G., Strasdat, H., Konolige, K., Burgard, W.: g2o: A general framework for graph optimization. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 3607–3613. IEEE (2011)
Laue, T., Spiess, K., Röfer, T.: SimRobot – A general physical robot simulator and its application in roboCup. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 173–183. Springer, Heidelberg (2006)
Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., Ng, A.: ROS: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3 (2009)
Rohmer, E., Singh, S., Freese, M.: V-REP: A versatile and scalable robot simulation framework. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1321–1326 (2013)
Vasconcelos, J., Elkaim, G., Silvestre, C., Oliveira, P., Cardeira, B.: Geometric approach to strapdown magnetometer calibration in sensor frame. IEEE Transactions on Aerospace and Electronic Systems 47(2), 1293–1306 (2011)
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Bardaro, G., Cucci, D.A., Bascetta, L., Matteucci, M. (2014). A Simulation Based Architecture for the Development of an Autonomous All Terrain Vehicle. In: Brugali, D., Broenink, J.F., Kroeger, T., MacDonald, B.A. (eds) Simulation, Modeling, and Programming for Autonomous Robots. SIMPAR 2014. Lecture Notes in Computer Science(), vol 8810. Springer, Cham. https://doi.org/10.1007/978-3-319-11900-7_7
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DOI: https://doi.org/10.1007/978-3-319-11900-7_7
Publisher Name: Springer, Cham
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