A new omnidirectional image sensing system for assembly (OISSA)

In contrast to objects of relatively simple shapes, it is difficult to extract geometrical informations from objects of complicated shapes and thus their assembly requires complete information about a misalignment between mating parts. This motivates development of a new sensing method for detecting the misalignment. In this paper, we propose a new omnidirectional image sensing system for assembly of parts with complicated shapes. It is shown that the system consisting of multiple mirrors and a camera can effectively acquire the coaxial 2n view of the misalignment.

[1]  Avinash C. Kak,et al.  Planning sensing strategies in a robot work cell with multi-sensor capabilities , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

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

[3]  Yasushi Yagi,et al.  Map-based navigation for a mobile robot with omnidirectional image sensor COPIS , 1995, IEEE Trans. Robotics Autom..

[4]  Hiroshi Ishiguro,et al.  Omni-directional stereo for making global map , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[5]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[6]  Jang Gyu Lee,et al.  Path Planning For A Mobile Robot With Grid Type World Model , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Rudolf Kingslake,et al.  Applied Optics and Optical Engineering , 1983 .

[8]  Roman Kuc,et al.  Physically Based Simulation Model for Acoustic Sensor Robot Navigation , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Carlos Canudas de Wit,et al.  Hybrid stabilizing control on a real mobile robot , 1995, IEEE Robotics Autom. Mag..

[10]  Edward M. Riseman,et al.  Image-based homing , 1992 .

[11]  Grigore C. Burdea,et al.  Solving jigsaw puzzles by a robot , 1989, IEEE Trans. Robotics Autom..

[12]  Yoram Koren,et al.  Teleautonomous guidance for mobile robots , 1990, IEEE Trans. Syst. Man Cybern..

[13]  Antonio Bicchi,et al.  Closed loop steering of unicycle like vehicles via Lyapunov techniques , 1995, IEEE Robotics Autom. Mag..

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

[15]  Ernest L. Hall,et al.  Dynamic omnidirectional vision for mobile robots , 1986, J. Field Robotics.

[16]  Martha Haskell Clark Tasks , 1924 .

[17]  Yoshiaki Shirai,et al.  Guiding a robot by visual feedback in assembling tasks , 1973, Pattern Recognit..

[18]  Jong-Eun Byun,et al.  로보트 시각 시스템을 이용한 사각형단면형상을 갖는 물체의 조립작업에 관한 연구 = A study on assembly task of parts with rectangular cross-sectional area by robot vision system , 1987 .

[19]  Jong Hwan Lim,et al.  Physically based sensor modeling for a sonar map in a specular environment , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[20]  Fumio Miyazaki,et al.  A stable tracking control method for a non-holonomic mobile robot , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[21]  Hans-Jürgen Warnecke,et al.  Robotic assembly: a synthesizing overview , 1987, Robotica.

[22]  G. Perry,et al.  Sensor-based robotic assembly systems: Research and applications in electronic manufacturing , 1983, Proceedings of the IEEE.

[23]  Carlos Canudas de Wit,et al.  Exponential control law for a mobile robot: extension to path following , 1993, IEEE Trans. Robotics Autom..

[24]  Dong-Woo Cho Certainty Grid Representation for Robot Navigation by a Bayesian Method , 1990, Robotica.

[25]  Yoram Koren,et al.  Real-time obstacle avoidance for fact mobile robots , 1989, IEEE Trans. Syst. Man Cybern..

[26]  Katsushi Ikeuchi,et al.  Generating visual sensing strategies in assembly tasks , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.