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This paper aims to review the 2007 Bi‐Annual International Robotics and Vision Show in Chicago.

The paper presents in‐depth interviews with exhibitors of robots and robotic vision systems.

The marriage of vision and robotics is changing the nature of robotics. In the past, a robot was a “dumb” mechanism which followed pre‐programmed directions. With the addition of vision and added computing power, the robot is starting to “find its way” in the application. Innovations in grippers, robotic design and simulation also shared the stage.

Applications, which previously did not lend themselves to a robotic solution because the requirement could not be completely pre‐programmed, may now be possible. With vision, the robot can adjust for uncertainties in real‐time and perform other tasks such as inspection.

This paper reviews the 2007 Bi‐Annual International Robotics and Vision Show, Chicago.

Looks at the move towards integrating robots with highperformance, fully programmable vision systems. Outlines the problems of traditional vision‐aided robotics and the advantage of modern machine vision technology. The latest generation of machine vision systems combine the capabilities of the “C” program system with graphic “point‐and Click” application development environments based on Microsoft Windows: the Checkpoint system. Describes how the Checkpoint vision systems works and the applications of the new vision guided robots. Concludes that the new systems now make it possible for users and system integrators to being the advantages of vision‐guided robotics to general manufacturing.

To report on developments in robotic vision by a particular robot manufacturer.

Examines FANUC Robotics' philosophy and history of integrated vision, describes its latest offering, and looks at the specification of the new robot controller.

The new robot controller incorporates image processing hardware and software, including calibration procedures. The intelligent robot responds to changes in its surroundings, eliminating the need for jigs and part‐alignment devices and broadening its capabilities.

Presents the intelligent robot as a practical tool in factory automation.

The aim of this study is to create a robust and simple collision avoidance approach based on quaternion algebra for vision-based pick and place applications in manufacturing industries, specifically for use with industrial robots and collaborative robots (cobots).

In this study, an approach based on quaternion algebra is developed to prevent any collision or breakdown during the movements of industrial robots or cobots in vision system included pick and place applications. The algorithm, integrated into the control system, checks for collisions before the robot moves its end effector to the target position during the process flow. In addition, a hand–eye calibration method is presented to easily calibrate the camera and define the geometric relationships between the camera and the robot coordinate systems.

This approach, specifically designed for vision-based robot/cobot applications, can be used by developers and robot integrator companies to significantly reduce application costs and the project timeline of the pick and place robotics system installation. Furthermore, the approach ensures a safe, robust and highly efficient application for robotics vision applications across all industries, making it an ideal solution for various industries.

The algorithm for this approach, which can be operated in a robot controller or a programmable logic controller, has been tested as real-time in vision-based robotics applications. It can be applied to both existing and new vision-based pick and place projects with industrial robots or collaborative robots with minimal effort, making it a cost-effective and efficient solution for various industries.