Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint

<div class="floats-full-page floats-full-page-figure"><h2>Figure 2</h2><div class="floats-full-page-caption"><div>The overall robot structure: (a) the passive DOF; (b) the four-bar mechanism leg structure and the implemented foot’s path.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-01.hindawi.com/articles/jr/volume-2020/8051510/figures/8051510.fig.002a.svgz" name="8051510.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b></td></tr><tr class="fig-image" id="b"><td><object data="https://static-01.hindawi.com/articles/jr/volume-2020/8051510/figures/8051510.fig.002b.svgz" name="8051510.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b></td></tr></table></div></div>

Figure 2 | Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint

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Figure 2: Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint

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Figure 2

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<p><em>Journal of Robotics </em>publishes original research articles as well as review articles on all aspects of automated mechanical devices, from their design and fabrication, to testing and practical implementation.</p>


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