Landing A Mobile Robot Safely from Tall Walls Using Manipulator Motion Generated from Reinforcement Learning

Mobile Manipulators (MM) has attracted a lot of researchers for incorporation in the robotics field owning to their multitude of applications in real world. Welding automation has its wide applications in industry like automobile manufacturing and power generation industry involving spherical tanks. The objective of this study is to design workspace and devise a methodology to plan position trajectory of welding tool that produces smooth welding while the mobile platform turns simultaneously. The robot proposed in this paper has the manipulator mounted on a platform moving as a turntable to increase the workspace and enhances the mobility of the manipulator. The earlier produces linear segment of weld while the later produces parabolic segment. The kinematic equations for mobile platform and the mounted manipulator are described in detail. The workspace of the robot is visualized based on computations of transformation matrices and jacobians structured based on kinematic equation. Trajectories for each joint, computed using inverse kinematic equations, are also presented. For spherical trajectories the solution of system equations is combined with constraint values for each manipulator joint, thus allowing computation of desired joint position at any time interval. The efficacy of the proposed methodology for the trajectory planning is tested through a case study. The simulation results of motion transformation, workspace and trajectory show that linear segments of the trajectory combine with parabolic trajectory segments smoothly with zero acceleration within designed reachable workspace. The experimental results verify the efficacy of application of presented kinematic and inverse kinematic models for welding of spherical objects.

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“…The matrix represents the change in frame after the differential motion. This matrix is given as in equation (21).…”

Section: Differential Motions Of the Mobile Welding Manipulatormentioning

confidence: 99%

“…For such mobile manipulators, it is necessary to analyze its kinematic solutions and trajectory from design till experimental phase [21,22]. Kinematic solutions for such robots are quite complex because of link constraints [11].…”

Section: Introductionmentioning

confidence: 99%