Error eliminating rapid ultrasonic firing for mobile robot obstacle avoidance

This paper introduces error eliminating rapid ultrasonic firing (EERUF), a new method for firing multiple ultrasonic sensors in mobile robot applications. EERUF allows ultrasonic sensors to fire at rates that are five to ten times faster than those customary in conventional applications. This is possible because EERUF reduces the number of erroneous readings due to ultrasonic noise by one to two orders of magnitude. While faster firing rates improve the reliability and robustness of mobile robot obstacle avoidance and are necessary for safe travel at higher speed (e.g., V>0.3 m/sec), they introduce more ultrasonic noise and increase the occurrence rate of crosstalk. However, EERUF almost eliminates crosstalk, making fast firing feasible. Furthermore, ERRUF's unique noise rejection capability allows multiple mobile robots to collaborate in the same environment, even if their ultrasonic sensors operate at the same frequencies. The authors have implemented and tested the EERUF method on a mobile robot and they present experimental results. With EERUF, a mobile robot was able to traverse an obstacle course of densely spaced, pencil-thin (8 mm-diameter) poles at up to 1 m/sec. >

[1]  Anita M. Flynn,et al.  Combining Sonar and Infrared Sensors for Mobile Robot Navigation , 1988, Int. J. Robotics Res..

[2]  Hans P. Moravec Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..

[3]  Yoram Koren,et al.  Obstacle avoidance with ultrasonic sensors , 1988, IEEE J. Robotics Autom..

[4]  Philip F. Spelt,et al.  Autonomous Mobile Robot Research Using The Hermies-III Robot , 1989, Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications.

[5]  Billur Barshan,et al.  Navigating vehicles through an unstructured environment with sonar , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[6]  James L. Crowley World modeling and position estimation for a mobile robot using ultrasonic ranging , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[7]  Hobart R. Everett,et al.  Modeling the Environment of a Mobile Security Robot , 1990 .

[8]  David A. Green,et al.  A Comparison of Real-Time Obstacle Avoidance Methods for Mobile Robots , 1991, ISER.

[9]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[10]  Roman Kuc,et al.  A Physically Based Navigation Strategy for Sonar-Guided Vehicles , 1991, Int. J. Robotics Res..

[11]  Essameddin Badreddin,et al.  Collision avoidance in a behavior-based mobile robot design , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[12]  Yoram Koren,et al.  Histogramic in-motion mapping for mobile robot obstacle avoidance , 1991, IEEE Trans. Robotics Autom..

[13]  R. Kuc,et al.  Characterizing pulses reflected from rough surfaces using ultrasound , 1991 .

[14]  John J. Leonard,et al.  Directed Sonar Sensing for Mobile Robot Navigation , 1992 .

[15]  Koren,et al.  Real-Time Obstacle Avoidance for Fast Mobile Robots , 2022 .