Robotics
LeRobot
Safetensors
imitation-learning
diffusion-policy
manipulation
hiro-robot
goal-conditioned
sensor-diffusion
Instructions to use calebescobedo/sensor-diffusion-policy-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use calebescobedo/sensor-diffusion-policy-v1 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Fix README: Goals are trajectory-specific, not constant
Browse files
README.md
CHANGED
|
@@ -102,9 +102,13 @@ with torch.no_grad():
|
|
| 102 |
|
| 103 |
## Dataset Notes
|
| 104 |
|
| 105 |
-
-
|
| 106 |
-
-
|
| 107 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 108 |
|
| 109 |
## License
|
| 110 |
|
|
|
|
| 102 |
|
| 103 |
## Dataset Notes
|
| 104 |
|
| 105 |
+
- **Goals are trajectory-specific**: Each trajectory has a unique goal (final cartesian position)
|
| 106 |
+
- **Goal distribution**:
|
| 107 |
+
- X range: [-0.239, 0.294] meters
|
| 108 |
+
- Y range: [-0.284, 0.317] meters
|
| 109 |
+
- Z range: [0.364, 0.579] meters
|
| 110 |
+
- **Total trajectories**: ~500 trajectories across 20 H5 files
|
| 111 |
+
- **Goal extraction**: Goal = final cartesian position of each trajectory (varies per trajectory)
|
| 112 |
|
| 113 |
## License
|
| 114 |
|