This paper introduces a novel stereo vision based simulation system for a Humanoid Robot. This stereo vision system and robot controller is simulated dynamically and its performance evaluated for a standard humanoid robot benchmark problem. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem. The real-time image pr...

Vision is one of the most important subsystems of an intelligent robot. Without vision, a robot can repeat only one predetermined job sequence where objects are espectcd to be at predetermined places. Moreover, slight disturbances can cause unpredictable circumstances in the robot environment which might prevent the robot from continuing its job scquence. Such a robot system lacks flcxibility a...

In this paper, a vision based system has been used for controlling an industrial 3P Cartesian robot. The vision system will recognize the target and control the robot by obtaining images from environment and processing them. At the first stage, images from environment are changed to a grayscale mode then it can diverse and identify objects and noises by using a threshold objects which are store...

A novel concept for vision-based robot control is introduced. It eliminates the need for a calibration of the robot and of the vision system and comprises an automatic adaptation to changing parameters. A key point of the concept is the newly proposed method of "objectand behavior-oriented stereo vision". Contrary to conventional stereo vision methods it uses an uncalibrated camera system and a...