ARK: autonomous mobile robot for an industrial environment

This paper describes research on the ARK (Autonomous Mobile Robot in a Known Environment) project. The technical objective of the project is to build a robot that can navigate and carry out survey/inspection tasks in a complex but known industrial environment. Rather than altering the robots environment by adding easily identifiable beacons the robot relies on naturally occurring objects to use as visual landmarks for navigation. The robot is equipped with various sensors that are used to detect unmapped obstacles, landmarks and objects. This paper describes the robot's industrial environment, it's control architecture, and some results in processing the robot's range and vision sensor data for navigation.<<ETX>>

[1]  Michael R. M. Jenkin,et al.  Global navigation for ARK , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[2]  Marc Rioux,et al.  Optical range image acquisition for the navigation of a mobile robot , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[3]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[4]  John K. Tsotsos,et al.  An Attentional Prototype for Early Vision , 1992, ECCV.

[5]  Michael R. M. Jenkin,et al.  Multi-transducer sonar interpretation , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[6]  Piotr Jasiobedzki Active image segmentation using a camera and a range finder , 1993, Defense, Security, and Sensing.

[7]  O. Faugeras Three-dimensional computer vision: a geometric viewpoint , 1993 .

[8]  John K. Tsotsos,et al.  Laser eye: a new 3D sensor for active vision , 1993, Other Conferences.

[9]  Robert Massen,et al.  Real-time colour classification for preprocessing photogrammetry images , 1990, ISPRS International Conference on Computer Vision and Remote Sensing.