Perceptual support for ballistic motion in docking for a mobile robot

This paper describes ongoing research into methods to allow a mobile robot to effectively function in a manufacturing environment; specifically, generation of the ballistic motion phase of the docking behavior. This overall docking behavior causes the robot to move to a workstation and park in an appropriate position. The docking behavior consists of two distinct types of motion. Ballistic motion rapidly moves the robot to an area near the dock where recognition of the dock triggers the slower, more accurate orienting motion for the final positioning. The ballistic motion is supported with two simple low-level behaviors: a phototropic (light seeking) behavior and a temporal (motion) detection behavior. The phototropic or temporal activity perceptual strategy maneuvers the vehicle toward the bright light or the abundant motion usually associated with workstations. These vision algorithms have been selected because strict knowledge of the initial position of the dock is not needed and each requires limited computational resources. This system has been implemented and shown to successfully generate ballistic motion in support of docking in typical manufacturing environments.

[1]  Rodney A. Brooks,et al.  Situated Vision in a Dynamic World: Chasing Objects , 1988, AAAI.

[2]  Robin R. Murphy,et al.  Mobile Robot Docking Operations in a Manufacturing Environment: Progress in Visual Perceptual Strategies , 1989, Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications.

[3]  Ramesh C. Jain,et al.  Motion detection in spatio-temporal space , 1989, Comput. Vis. Graph. Image Process..

[4]  Robin R. Murphy,et al.  Autonomous navigation in a manufacturing environment , 1990, IEEE Trans. Robotics Autom..

[5]  Bir Bhanu,et al.  Inertial navigation sensor integrated motion analysis , 1989 .

[6]  Ronald C. Arkin Towards Cosmopolitan Robot: Intelligent Navigation in Extended , 1987 .

[7]  Ronald C. Arkin,et al.  Temporal coordination of perceptual algorithms for mobile robot navigation , 1994, IEEE Trans. Robotics Autom..

[8]  J. S. Thomas,et al.  The Continuity of Movements , 1973 .

[9]  Ronald C. Arkin,et al.  Integrating behavioral, perceptual, and world knowledge in reactive navigation , 1990, Robotics Auton. Syst..

[10]  Ronald C. Arkin,et al.  The impact of cybernetics on the design of a mobile robot system: a case study , 1990, IEEE Trans. Syst. Man Cybern..

[11]  Bir Bhanu,et al.  Qualitative target motion detection and tracking , 1989 .

[12]  Igor Pavlin Motion From A Sequence Of Images , 1987, Other Conferences.