Bart/bullet3
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

use cnn_to_mlp to allow training of racecar using (extremely simplified) ZED camera pixel data using OpenAI baselines.

Browse Source 
add a red sphere to make training a bit easier for now.
This commit is contained in:
Erwin Coumans
2017-06-13 18:33:32 -07:00
parent ee8fd56c5e
commit a0ded43a69
6 changed files with 3793 additions and 29 deletions
Download Patch File Download Diff File Expand all files Collapse all files

32
data/sphere2red.urdf Normal file
View File

@@ -0,0 +1,32 @@
<?xml version="0.0" ?>
<robot name="urdf_robot">
<link name="baseLink">
<contact>
<rolling_friction value="0.03"/>
<spinning_friction value="0.03"/>
</contact>
<inertial>
<origin rpy="0 0 0" xyz="0 0 0"/>
<mass value="10.0"/>
<inertia ixx="1" ixy="0" ixz="0" iyy="1" iyz="0" izz="1"/>
</inertial>
<visual>
<origin rpy="0 0 0" xyz="0 0 0"/>
<geometry>
<mesh filename="sphere_smooth.obj" scale="0.5 0.5 0.5"/>
</geometry>
<material name="red">
<color rgba="1 0.2 0.2 1"/>
<specular rgb="1 1 1"/>
</material>
</visual>
<collision>
<origin rpy="0 0 0" xyz="0 0 0"/>
<geometry>
<sphere radius="0.5"/>
</geometry>
</collision>
</link>
</robot>