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<!--
Based on Coulomb's [1] rather than Spong's [2] model.
[1] Coulom, Rémi. Reinforcement learning using neural networks, with applications to motor control.
Diss. Institut National Polytechnique de Grenoble-INPG, 2002.
[2] Spong, Mark W. "The swing up control problem for the acrobot."
IEEE control systems 15, no. 1 (1995): 49-55.
-->
<mujoco model="acrobot">
<include file="./common/visual.xml"/>
<include file="./common/skybox.xml"/>
<include file="./common/materials.xml"/>
<default>
<joint damping=".05"/>
<geom type="capsule" mass="1"/>
</default>
<option timestep="0.01" integrator="RK4">
<flag constraint="disable" energy="enable"/>
</option>
<worldbody>
<light name="light" pos="0 0 6"/>
<geom name="floor" size="3 3 .2" type="plane" material="grid"/>
<site name="target" type="sphere" pos="0 0 4" size="0.2" material="target" group="3"/>
<camera name="fixed" pos="0 -6 2" zaxis="0 -1 0"/>
<camera name="lookat" mode="targetbodycom" target="upper_arm" pos="0 -2 3"/>
<body name="upper_arm" pos="0 0 2">
<joint name="shoulder" type="hinge" axis="0 1 0"/>
<geom name="upper_arm_decoration" material="decoration" type="cylinder" fromto="0 -.06 0 0 .06 0" size="0.051" mass="0"/>
<geom name="upper_arm" fromto="0 0 0 0 0 1" size="0.05" material="self"/>
<body name="lower_arm" pos="0 0 1">
<joint name="elbow" type="hinge" axis="0 1 0"/>
<geom name="lower_arm" fromto="0 0 0 0 0 1" size="0.049" material="self"/>
<site name="tip" pos="0 0 1" size="0.01"/>
</body>
</body>
</worldbody>
<actuator>
<motor name="elbow" joint="elbow" gear="2" ctrllimited="true" ctrlrange="-1 1"/>
</actuator>
</mujoco>
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