Search is not available for this dataset
video video |
|---|
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Jaco vs Franka Pick Task Comparison
Experiment Setup
- Scene: iTHOR house 1
- Seed: 42
- Episodes: 2 per robot
- Task: Pick (pick up object)
Results
| Robot | Success Rate | Episodes | Notes |
|---|---|---|---|
| Franka (Droid) | 100% | 2/2 | Works reliably |
| Jaco | 0% | 0/1 | IK failures during path execution |
Key Finding
The Jaco robot fails due to IK failures during interpolated path following, NOT because of:
- Grasp selection (grasps are the same for both robots)
- Initial IK feasibility check (passes)
- Final pose reachability (endpoints are feasible)
The issue is that Jaco's IK solver cannot reliably track all intermediate poses along the motion path. Franka succeeds because:
- It has a larger workspace
- Its IK solver handles path interpolation better
Recommendations
- Use cuRobo for motion planning instead of IK-based path following
- Generate Jaco-specific grasps that are more conservative
- Reduce motion speed further to give IK more time
- Consider trajectory optimization instead of linear interpolation
Files
franka_baseline/- Franka experiment (100% success)jaco_comparison/- Jaco experiment (0% success)JACO_IK_INVESTIGATION.md- Detailed analysisjaco_datagen_configs.py- Jaco configuration with tuned parameters
- Downloads last month
- 62