Semiparametric Deep Learning Manipulator Inverse Dynamics Modeling Method for Smart City and Industrial Applications

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Joint #</td><td class="align_center">Joint 1</td><td class="align_center">Joint 2</td><td class="align_center">Joint 3</td><td class="align_center">Joint 4</td><td class="align_center">Joint 5</td><td class="align_center">Joint 6</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Range of motion (deg)</td><td class="align_center">[−180, 180]</td><td class="align_center">[−180, 0]</td><td class="align_center">[−130, 130]</td><td class="align_center">[−180, 0]</td><td class="align_center">[−180, 180]</td><td class="align_center">[−180, 180]</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Rotation angle range of each joint in the selected robot workspace.</div>

Complexity

tab1

Table 1

Table 1: Semiparametric Deep Learning Manipulator Inverse Dynamics Modeling Method for Smart City and Industrial Applications 