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Release v1.4 #362
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Release v1.4 #362
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Update binding_utils comments
…suite-dev into master_new_binding
Add standardized logging format for robosuite
installation page
Update scene textures
installation page
…ev into update-docs
adding script changes for new mujoco bindings
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robosuite 1.4.0 Release Notes
Highlights
This release of robosuite refactors our backend to leverage DeepMind's new mujoco bindings. Below, we discuss the key details of this refactoring:
Installation
Now, installation has become much simpler, with mujoco being directly installed on Linux or Mac via
pip install mujoco
. Importing mujoco is now done viaimport mujoco
instead ofimport mujoco_py
Rendering
The new DeepMind mujoco bindings do not ship with an onscreen renderer. As a result, we've implented an OpenCV renderer, which provides most of the core functionality from the original mujoco renderer, but has a few limitations (most significantly, no glfw keyboard callbacks and no ability to move the free camera).
Improvements
The following briefly describes other changes that improve on the pre-existing structure. This is not an exhaustive list, but a highlighted list of changes.
Standardize end-effector frame inference (Why I got some dark images? #25). Now, all end-effector frames are correctly inferred from raw robot XMLs and take into account arbitrary relative orientations between robot arm link frames and gripper link frames.
Improved robot textures (Mujoco 2.0 support #27). With added support from DeepMind's mujoco bindings for obj texture files, all robots are now natively rendered with more accurate texture maps.
Revamped macros (Robot appears differently in window rendering vs offscreen rendering from camera #30). Macros now references a single macro file that can be arbitrarily specified by the user.
Improved method for specifying GPU ID (How can I move the objects as I wish in this environment? #29). The new logic is as follows:
render_device_gpu_id=-1
,MUJOCO_EGL_DEVICE_ID
andCUDA_VISIBLE_DEVICES
are not set, we either choose the first available device (usually0
) ifmacros.MUJOCO_GPU_RENDERING
isTrue
, otherwise use CPU;CUDA_VISIBLE_DEVICES
orMUJOCO_EGL_DEVICE_ID
are set, we make sure that they dominate over programmatically defined GPU device id.CUDA_VISIBLE_DEVICES
andMUJOCO_EGL_DEVICE_ID
are both set, then we useMUJOCO_EGL_DEVICE_ID
and make sure it is defined inCUDA_VISIBLE_DEVICES
robosuite docs updated
Add new papers
Critical Bug Fixes
Other Bug Fixes
Contributor Spotlight
We would like to introduce the newest members of our robosuite core team, all of whom have contributed significantly to this release!
@awesome-aj0123
@snasiriany
@zhuyifengzju