v0.2.0
Precompiled binaries
- Windows: SpearSim-v0.2.0-Win64-Shipping.zip
- macOS: SpearSim-v0.2.0-Mac-Shipping.zip
- Linux: SpearSim-v0.2.0-Linux-Shipping.zip
Scene data
kujiale_0000
- Windows: kujiale_0000-v0.2.0-Windows.pak
- macOS: kujiale_0000-v0.2.0-Mac.pak
- Linux: kujiale_0000-v0.2.0-Linux.pak
warehouse_0000
- Windows: warehouse_0000-v0.2.0-Windows.pak
- macOS: warehouse_0000-v0.2.0-Mac.pak
- Linux: warehouse_0000-v0.2.0-Linux.pak
Changes
This release includes the following new user-facing features and improvements.
- A large new photorealistic scene,
warehouse_0000
, which can be used to train industrial robots for warehouse applications.
- A new agent, Fetch, that is capable of mobile manipulation tasks.
- A new example application,
open_loop_control_fetch
, which demonstrates our Fetch agent performing a simple mobile manipulation task.
- A new scene that is intended for debugging,
starter_content_0000
, which loads very quickly and is suitable for simple manipulation and navigation tasks.
- Improved behavior when running the
SpearSim
executable with no additional arguments. The default behavior is now an interactive navigation mode, where a user can navigate around thekujiale_0000
scene. - A new command-line tool,
run_executable
, which launchesSpearSim
in interactive navigation mode and loads a user-specified scene. - An improved communication mechanism between the
SpearSim
executable and surrounding Python code, which more than doubles the overall frame rate when communicating large image observations. - An improved navigation policy that was trained using our
imitation_learning_openbot
example application to collect data. - Our macOS
SpearSim
executable is now correctly code-signed.