Abstract

For liquid transfer system in three-dimensional space, the use of multijoint robot arm provides much flexibility. To realize quick point-to-point motion with minimal sloshing in such system, we propose an integrated framework of trajectory planning and sloshing suppression. The robot motion is decomposed into translational motion of the robot wrist and rotational motion of the robot hand to ensure the upright orientation of the liquid container. The trajectory planning for the translational motion is based on cubic spline optimization with free via points that produces smooth trajectory in joint space while it still allows obstacle avoidance in task space. Input shaping technique is applied in the task space to suppress the motion induced sloshing, which is modeled as spherical pendulum with moving support. It has been found through simulations and experiments that the proposed approach is effective in generating quick motion with low amount of sloshing.

Highlights

  • In this research, we address a case where a robot arm is used to move a liquid filled container in three-dimensional space

  • We propose the integration of the trajectory planning of seven degrees of freedom liquid container transfer robot arm and the sloshing suppression of the contained liquid

  • It is an extension to a more basic cubic spline optimization reported in our previous paper [5] in two points: motion in three-dimensional space is addressed by using multijoint robot arm, and obstacle avoidance constraints are added

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Summary

Introduction

Few addressed the optimization of time and location of knots concurrently [5] In the latter approach, the location of Journal of Robotics knots is not fixed, which is suitable for trajectory planning problem with obstacle avoidance. Because the robot arm has spherical wrist, the motion can be conveniently decoupled into translational motion of the wrist locus and rotational motion of robot hand This decomposition is useful in our application case, because for sloshing suppression we want to take full control of the container orientation. It is an extension to a more basic cubic spline optimization reported in our previous paper [5] in two points: motion in three-dimensional space is addressed by using multijoint robot arm, and obstacle avoidance constraints are added. Experiments are carried out for a few example cases

Sloshing Model and Suppression
Trajectory Planning
Numerical Simulation of Sloshing
Experiment Results and Discussion
Conclusion and Further Work

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