From e52ce31d1f9fa56d613c6ad159213c4f267ff4d0 Mon Sep 17 00:00:00 2001
From: Russ Tedrake Robotic Manipulation<
require explicit object models, that supports the types of queries we need
for motion planning (for instance, fast collision detection and
minimum-distance computations), which we can update efficiently from our
- raw sensor data, and which scale well to large scenes. Raw, merged point
+ raw sensor data, and which scales well to large scenes. Raw, merged point
clouds, for instance, are easy to update and don't require a model, but
would not be ideal for fast planning queries.
Voxel grids are a geometry representation that meets (almost all of) the +
Voxel grids are a geometry representation that meets (almost all of) our desiderata -- we actually used them already in order to efficiently down-sample a point cloud. In this representation we discretize some finite volume of 3D space into a grid of fixed-size cubes; let's say 1 cm$^3.$ We @@ -156,7 +156,7 @@
When I've used the term "simulation" so far in these notes, I've been focusing mostly on the enabling technologies, like the physics engine and the - the rendering engine. In robotics today, there are only a handful of + rendering engine. In robotics today, there are only a handful of mainstream simulators which people are using, such as NVidia Isaac/Omniverse, MuJoCo, and Drake. (PyBullet was very popular but is no longer actively maintained.) But there is another crop of tools which call @@ -363,7 +363,7 @@
Most of the ideas we've covered in this chapter so far can be considered relatively modest extensions to our existing manipulation toolbox. But there - are some important problem associated with navigating a mobile robot that + are some important problems associated with navigating a mobile robot that really don't come up in table-top manipulation.