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Add OSC_POSITION option in spacemouse input_utils #209

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zhuyifengzju
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@@ -245,6 +245,8 @@ def input2action(device, robot, active_arm="right", env_configuration=None):
# Scale rotation for teleoperation (tuned for OSC) -- gains tuned for each device
drotation = drotation * 50 if isinstance(device, SpaceMouse) else drotation * 1.5
dpos = dpos * 125 if isinstance(device, SpaceMouse) else dpos * 75
elif controller.name== "OSC_POSITION":
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Please follow the coding convention and add an extra space before ==.

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Updated.

Add extra space before == to obey coding convention.
@zhuyifengzju zhuyifengzju requested a review from yukezhu April 20, 2021 04:00
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yukezhu commented Apr 27, 2021

@zhuyifengzju This PR has merge conflicts with the latest master branch. Could you resolve them so we can approve this?

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Just rebased to the master branch. I think it's up-to-date now.

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LGTM

@yukezhu yukezhu merged commit 95bdb92 into ARISE-Initiative:master Apr 29, 2021
rojas70 pushed a commit to learningLogisticsLab/robosuite that referenced this pull request Jul 28, 2021
* Add OSC_POSITION option in spacemouse input_utils
@yukezhu yukezhu mentioned this pull request Oct 19, 2021
yukezhu added a commit that referenced this pull request Oct 19, 2021
# robosuite 1.3.0 Release Notes
- Highlights
- New Features
- Improvements
- Critical Bug Fixes
- Other Bug Fixes

# Highlights
This release of robosuite brings powerful rendering functionalities including new renderers and multiple vision modalities, in addition to some general-purpose camera utilities. Below, we discuss the key details of these new features:

## Renderers
In addition to the native Mujoco renderer, we present two new renderers, [NVISII](https://github.com/owl-project/NVISII) and [iGibson](http://svl.stanford.edu/igibson/), and introduce a standardized rendering interface API to enable easy swapping of renderers.

NVISII is a high-fidelity ray-tracing renderer originally developed by NVIDIA, and adapted for plug-and-play usage in **robosuite**. It is primarily used for training perception models and visualizing results in high quality. It can run at up to ~0.5 fps using a GTX 1080Ti GPU. Note that NVISII must be installed (`pip install nvisii`) in order to use this renderer.

iGibson is a much faster renderer that additionally supports physics-based rendering (PBR) and direct rendering to pytorch tensors. While not as high-fidelity as NVISII, it is incredibly fast and can run at up to ~1500 fps using a GTX 1080Ti GPU. Note that iGibson must be installed (`pip install igibson`) in order to use this renderer.

With the addition of these new renderers, we also introduce a standardized [renderer](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/renderers/base.py) for easy usage and customization of the various renderers. During each environment step, the renderer updates its internal state by calling `update()` and renders by calling `render(...)`. The resulting visual observations can be polled by calling `get_pixel_obs()` or by calling other methods specific to individual renderers. We provide a [demo script](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/demos/demo_segmentation.py) for testing each new renderer, and our docs also provide [additional information](http://robosuite.ai/docs/modules/renderers.md) on specific renderer details and installation procedures.

## Vision Modalities
In addition to new renderers, we also provide broad support for multiple vision modalities across all (Mujoco, NVISII, iGibson) renderers:

- **RGB**: Standard 3-channel color frames with values in range `[0, 255]`. This is set during environment construction with the `use_camera_obs` argument.
- **Depth**: 1-channel frame with normalized values in range `[0, 1]`. This is set during environment construction with the `camera_depths` argument.
- **Segmentation**: 1-channel frames with pixel values corresponding to integer IDs for various objects. Segmentation can occur by class, instance, or geom, and is set during environment construction with the `camera_segmentations` argument.
    
In addition to the above modalities, the following modalities are supported by a subset of renderers:

- **Surface Normals**: [NVISII, iGibson] 3-channel (x,y,z) normalized direction vectors.
- **Texture Coordinates**: [NVISII] 3-channel (x,y,z) coordinate texture mappings for each element
- **Texture Positioning**: [NVISII, iGibson] 3-channel (x,y,z) global coordinates of each pixel.

Specific modalities can be set during environment and renderer construction. We provide a [demo script](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/demos/demo_nvisii_modalities.py) for testing the different modalities supported by NVISII and a [demo script](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/demos/demo_igibson_modalities.py) for testing the different modalities supported by iGibson.

## Camera Utilities
We provide a set of general-purpose [camera utilities](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/utils/camera_utils.py) that intended to enable easy manipulation of environment cameras. Of note, we include transform utilities for mapping between pixel, camera, and world frames, and include a [CameraMover](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/utils/camera_utils.py#L244) class for dynamically moving a camera during simulation, which can be used for many purposes such as the [DemoPlaybackCameraMover](https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/utils/camera_utils.py#L419) subclass that enables smooth visualization during demonstration playback.

# 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 EEF frames (#204). Now, all grippers have identical conventions for plug-and-play usage across types.

- Add OSC_POSITION control option for spacemouse (#209).

- Improve model class hierarchy for robots. Now, robots own a subset of models (gripper(s), mount(s), etc.), allowing easy external access to the robot's internal model hierarchy.

- robosuite docs updated

- Add new papers


# Critical Bug Fixes
- Fix OSC global orientation limits (#228)


# Other Bug Fixes
- Fix default OSC orientation control (valid default rotation matrix) (#232)

- Fix Jaco self-collisions (#235)

- Fix joint velocity controller clipping and tune default kp (#236)

-------

## Contributor Spotlight
A big thank you to the following community members for spearheading the renderer PRs for this release!
@awesome-aj0123 
@divyanshj16
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2 participants