Time-Optimal Trajectory Planning With Interaction With the Environment
Vincenzo Petrone, Enrico Ferrentino, Pasquale Chiacchio · IEEE Robotics and Automation Letters · 2022
Optimal motion planning along prescribed paths can be solved with several techniques, but most of them do not take into account the wrenches exerted by the end-effector when in contact with the environment. When a dynamic model of the environment is not available, no consolidated methodology exists to consider the effect of the interaction. Regardless of the specific performance index to optimize, this article proposes a strategy to include external wrenches in the optimal planning algorithm, considering the task specifications. This procedure is instantiated for minimum-time trajectories and validated on a real robot performing an interaction task under admittance control. The results prove that the inclusion of end-effector wrenches affects the planned trajectory, in fact modifying the manipulator's dynamic capability.