This paper presents implementation of time optimal generated trajectories, on a mobile manipulator. The executed task involves a generalized point to point trajectory generation, connecting initial and final imposed configurations.The trajectories are off-line generated considering kinematic constraints. Trajectory tracking is not guaranteed due to the controllers implemented on the real robot. Inherent changes on the environment surrounding the robot can also occurred. We propose in this paper to insert modules to the existing controller blocks of both manipulator and mobile platform allowing switching between velocity control mode (existing control mode) and position control mode. That allows reaching the final configuration with minimum error, or obstacle avoidance for the sudden environment changing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.