Robot trajectory planning algorithms often ignore the dynamics of the robot and actuator to concentrate on other aspects, such as Cartesian linearity or collision avoidance. This paper describes a trajectory generation and tracking system designed to maximize the manipulator's usable performance on a sensor-driven task.The system drives a PUMA 260 that is part of a functioning robot ping-pong player. We will describe the system's implementation and performance in practice.
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