Avoiding robot joint limits and kinematic singularities in visual servoing
We propose in this paper solutions to avoid the joint limits and kinematic singularities in visual servoing. We use a control scheme based on the task function approach. It combines the regulation of the selected vision-based task with the minimization of a secondary cost function, which reflects the manipulability of the robot in the vicinity of joint limits and singularities.