Fixes orientation resampling logic in reset_root_state_uniform event

CONTRIBUTORS.md

@@ -51,6 +51,7 @@ Guidelines for modifications:
 * Rosario Scalise
 * Shafeef Omar
 * Vladimir Fokow
+* Zhengyu Zhang
 
 ## Acknowledgements
 

source/extensions/omni.isaac.lab/docs/CHANGELOG.rst

@@ -1,6 +1,15 @@
 Changelog
 ---------
 
+0.17.12 (2024-06-11)
+~~~~~~~~~~~~~~~~~~~~
+
+Fixed
+^^^^^
+
+* Fixed :class:`omni.isaac.lab.envs.mdp.Event` reset_root_state_uniform has has logic setting position and orientation.
+  Earlier, the :attr:`omni.isaac.lab.envs.mdp.Event` position was set in relative mode and orientation is set in 
+  absolute mode
 
 0.17.11 (2024-05-30)
 ~~~~~~~~~~~~~~~~~~~~

source/extensions/omni.isaac.lab/omni/isaac/lab/assets/articulation/articulation.py

@@ -256,7 +256,7 @@ def find_fixed_tendons(
     ) -> tuple[list[int], list[str]]:
         """Find fixed tendons in the articulation based on the name keys.
 
-        Please see the :func:`omni.isaac.orbit.utils.string.resolve_matching_names` function for more information
+        Please see the :func:`omni.isaac.lab.utils.string.resolve_matching_names` function for more information
         on the name matching.
 
         Args:

source/extensions/omni.isaac.lab/omni/isaac/lab/envs/mdp/events.py

@@ -611,8 +611,8 @@ def reset_root_state_uniform(
     rand_samples = math_utils.sample_uniform(ranges[:, 0], ranges[:, 1], (len(env_ids), 6), device=asset.device)
 
     positions = root_states[:, 0:3] + env.scene.env_origins[env_ids] + rand_samples[:, 0:3]
-    orientations = math_utils.quat_from_euler_xyz(rand_samples[:, 3], rand_samples[:, 4], rand_samples[:, 5])
-
+    orientations_delta = math_utils.quat_from_euler_xyz(rand_samples[:, 3], rand_samples[:, 4], rand_samples[:, 5])
+    orientations = math_utils.quat_mul(root_states[:, 3:7], orientations_delta)
     # velocities
     range_list = [velocity_range.get(key, (0.0, 0.0)) for key in ["x", "y", "z", "roll", "pitch", "yaw"]]
     ranges = torch.tensor(range_list, device=asset.device)

source/standalone/workflows/robomimic/train.py

@@ -25,6 +25,7 @@
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
 
+
 """
 The main entry point for training policies from pre-collected data.