bullet3/data/mjcf/capsule.xml

 <!--
 MuJoCo MJCF test file. See http://mujoco.org/book/index.html
  -->
<mujoco>
   <worldbody>
      <light diffuse=".5 .5 .5" pos="0 0 3" dir="0 0 -1"/>    
      <geom type="plane" size="1 1 0.1" rgba=".9 0 0 1"/>
      <body name="capsule" pos="0 0 1">
         <joint type="free"/>
         <geom name="aux_1_geom" size="0.05 0.1" type="capsule"/>
      </body>
   </worldbody>
</mujoco>
First step towards a MuJoCo MJCF importer for Bullet. It can load the humanoid.xml, ant.xml and some other OpenAI GYM asset files. Not all fields are converted, so it is work-in-progress. This is useful for Reinforcement Learning experiments, and would also help integration with DeepMind Lab. 2016-12-31 02:32:57 +00:00			`<!--`
			`MuJoCo MJCF test file. See http://mujoco.org/book/index.html`
			`-->`
			`<mujoco>`
			`<worldbody>`
			`<light diffuse=".5 .5 .5" pos="0 0 3" dir="0 0 -1"/>`
			`<geom type="plane" size="1 1 0.1" rgba=".9 0 0 1"/>`
PyBullet: added preliminary DART and MuJoCo backend files, MuJoCo can loadMJCF, stepSimulation and getBasePositionAndOrientation, DART is empty. PyBullet: add 2d biped example., 2018-07-01 21:42:32 +00:00			`<body name="capsule" pos="0 0 1">`
First step towards a MuJoCo MJCF importer for Bullet. It can load the humanoid.xml, ant.xml and some other OpenAI GYM asset files. Not all fields are converted, so it is work-in-progress. This is useful for Reinforcement Learning experiments, and would also help integration with DeepMind Lab. 2016-12-31 02:32:57 +00:00			`<joint type="free"/>`
improvements in MJCF importer: fix capsule shape inertia (for fromto definition) add cylinder support don't crash when no "quat" is provided inertia fix in btMinkowskiSumShape (based on AABB) 2017-04-05 19:22:38 +00:00			`<geom name="aux_1_geom" size="0.05 0.1" type="capsule"/>`
First step towards a MuJoCo MJCF importer for Bullet. It can load the humanoid.xml, ant.xml and some other OpenAI GYM asset files. Not all fields are converted, so it is work-in-progress. This is useful for Reinforcement Learning experiments, and would also help integration with DeepMind Lab. 2016-12-31 02:32:57 +00:00			`</body>`
			`</worldbody>`
			`</mujoco>`