Real-time trajectory scaling algorithms for enhanced path following of robot manipulators

Trajectory scaling algorithms can improve the path- following performance of robot manipulators by modifying the trajectory online according to the actual state of the environment and other agents. This abstract discusses different methods recently proposed in the literature: it gives an overview of their capabilities and features and it compares the existing techniques both from a qualitative and experimental point of view.