Abstract
In this paper, we demonstrate a reliable and robust system for localization of mobile robots in indoors environments which are relatively consistent to a priori known maps. Through the use of an Extended Kalman Filter combining dead-reckoning, ultrasonic, and infrared sensor data, estimation of the position and orientation of the robot is achieved. Based on a thresholding approach, unexpected obstacles can be detected and their motion predicted. Experimental results from implementation on our mobile robot, Nomad-200, are also presented.
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Predciado, A., Meizel, D., Segovia, A. and Rombaut, M.: Fusion of multi-sensor data: A geometric approach, inProc. 1991 IEEE Int. Conf. Robotics and Automation, April 1991, pp. 277–289.
Borenstein, J. and Koren, Y.: Obstacle avoidance with ultrasonic sensors,IEEE J. Robotics Autom. (April 1988), 213–218.
Bozma, O., and Kuc, R.: Building a sonar map in a specular environment using a single mobile sensor,IEEE Trans. Pattern Analysis Machine Intelligence (December 1991), 1260–1269.
Cox, I. J.: Blanche — an experiment in guidance and navigation of an autonomous robot vehicle,IEEE Trans. Robitics Automat. (April 1991), 193–204.
Crowley, J. L.: Asynchronous control of orientation and displacement in a robot vehicle, inProc. 1989 IEEE Int. Conf. Robotics and Automation (May 1989), 1277–1282.
Gelb, A.:Applied Optimal Estimation, MIT Press, Cambridge, MA, 1980.
Holenstein, A., Muller, M. and Badreddin, E.: Mobile robot location in a structured environment cluttered with obstacles, inProc. 1992 IEEE Int. Conf. Robotics and Automation, May 1992, pp. 2576–2581.
Kosaka, A. and Kak, A. C.: Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties,Comp. Vision Graph. Image Proc. Image Understanding (November 1992).
Kleeman, L.: Optimal estimation of position and heading for mobile robots using ultrasonic beacons and dead-reckoning, inProc. 1992 IEEE Int. Conf. Robotics and Automation, 1992, pp. 2582–2587.
Kyriakopoulos, K. J. and Saridis, G.: An integrated collision prediction and avoidance scheme for mobile robots in non-stationary environments, inProc. 1992 Int. Conf. Robotics and Automation, and to Appear inAUTOMATICA (1992).
Kyriakopoulos, K. J. and Saridis, G.: Optimal motion planning for collision avoidance of mobile robots in non-stationary environments, in1992 Amer. Control Conf. and submitted toTransactions in Automatic Control (June 1992).
Pappas, G. J. and Kyriakopoulos, K. J.: Dynamic modelling and tracking control of nonholonomic wheeled vehicles, Submitted toIFAC'93 World Congress, 1993.
Nomadic Technologies, Nomad 200 motion control software, Technical Report, Nomadic Technologies, Inc., 1991.
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Curran, A., Kyriakopoulos, K.J. Ultrasonic navigation for a wheeled nonholonomic vehicle. J Intell Robot Syst 12, 239–258 (1995). https://doi.org/10.1007/BF01262963
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DOI: https://doi.org/10.1007/BF01262963