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README.md

@@ -1,48 +1,48 @@
----
-license: cc-by-4.0
-task_categories:
-  - robotics
-tags:
-  - egocrowd
-  - manipulation
-  - lerobot
-  - franka-panda
-  - iphone-lidar
-size_categories:
-  - n<1K
----
-
-# EgoCrowd Pick Mug V5
-
-Robot training dataset generated from a single iPhone 15 Pro LiDAR recording of a human picking up a mug.
-
-## Pipeline
-iPhone .r3d recording -> GroundingDINO (object detection) -> HaMeR (3D hand mesh) -> LiDAR depth fusion -> Spatial trajectory retargeting (V5 hybrid) -> IK solve -> LeRobot HDF5
-
-## Results
-- **18.1cm clean mug lift** in MuJoCo Franka Panda simulation
-- 0 table collisions
-- 93.7% hand pose coverage (282/301 frames)
-
-## Data Format
-- **Observations** (14-dim): qpos_arm[7] + ee_pos[3] + mug_pos[3] + gripper[1]
-- **Actions** (8-dim): target_qpos[7] + target_gripper[1]
-- **Episodes**: 1 (270 steps @ 30fps)
-
-## Usage
-```python
-import h5py
-with h5py.File("data/data.hdf5", "r") as f:
-    ep = f["episode_0"]
-    obs = ep["observations/qpos_arm"][:]
-    actions = ep["actions/target_qpos"][:]
-```
-
-## Source
-- Recording: iPhone 15 Pro, Record3D app
-- Robot: Franka Emika Panda 7-DoF
-- Simulator: MuJoCo
-- Pipeline: [egocrowd-pipeline](https://github.com/ChristianNyamekye/egocrowd-pipeline)
-
-## License
-CC-BY-4.0
+---
+license: cc-by-4.0
+task_categories:
+  - robotics
+tags:
+  - FlexaTechnologies
+  - manipulation
+  - lerobot
+  - franka-panda
+  - iphone-lidar
+size_categories:
+  - n<1K
+---
+
+# Flexa Pick Mug V5
+
+Robot training dataset generated from a single iPhone 15 Pro LiDAR recording of a human picking up a mug.
+
+## Pipeline
+iPhone .r3d recording -> GroundingDINO (object detection) -> HaMeR (3D hand mesh) -> LiDAR depth fusion -> Spatial trajectory retargeting (V5 hybrid) -> IK solve -> LeRobot HDF5
+
+## Results
+- **18.1cm clean mug lift** in MuJoCo Franka Panda simulation
+- 0 table collisions
+- 93.7% hand pose coverage (282/301 frames)
+
+## Data Format
+- **Observations** (14-dim): qpos_arm[7] + ee_pos[3] + mug_pos[3] + gripper[1]
+- **Actions** (8-dim): target_qpos[7] + target_gripper[1]
+- **Episodes**: 1 (270 steps @ 30fps)
+
+## Usage
+```python
+import h5py
+with h5py.File("data/data.hdf5", "r") as f:
+    ep = f["episode_0"]
+    obs = ep["observations/qpos_arm"][:]
+    actions = ep["actions/target_qpos"][:]
+```
+
+## Source
+- Recording: iPhone 15 Pro, Record3D app
+- Robot: Franka Emika Panda 7-DoF
+- Simulator: MuJoCo
+- Pipeline: [FlexaTechnologies-pipeline](https://github.com/ChristianNyamekye/FlexaTechnologies-pipeline)
+
+## License
+CC-BY-4.0