Control of intelligent robot systems

A coherent framework for the implementation of intelligent robot control and a paradigm demonstrating the concepts of target state redefinition and task-level feedback are presented. The model-based robot control problem is reviewed, and the standard robotics terminology is introduced. The target state is defined using task-level feedback concepts. Then, the visual-feedback paradigm to outline the approach is developed. Finally, the findings and areas for future research are discussed.<>