feat: update 30K → 50K+ experiments, add UR3e and UR10e (4 robots)

README.md

@@ -8,6 +8,8 @@ tags:
   - isaac-sim
   - franka-panda
   - ur5e
+  - ur3e
+  - ur10e
   - domain-randomization
   - latin-hypercube-sampling
   - adaptive-sampling
@@ -21,19 +23,19 @@ language:
 
 # RoboGate Failure Dictionary
 
-> **30,000 Physics-Validated Pick & Place Failure Patterns across Franka Panda & UR5e**
+> **50,000+ Physics-Validated Pick & Place Failure Patterns across 4 Robots (Franka Panda, UR5e, UR3e, UR10e)**
 
 A structured database of robot AI failure patterns collected from **NVIDIA Isaac Sim** physical simulations using **Two-Stage Adaptive Sampling**. Each experiment records the exact conditions under which a robot succeeded or failed at Pick & Place tasks.
 
 ## Quick Stats
 
-| | Franka Uniform | Franka Boundary | UR5e | Combined |
-|---|---|---|---|---|
-| **Experiments** | 10,000 | 10,000 | 10,000 | **30,000** |
-| **Success Rate** | 33.3% | 63.8% | 74.3% | — |
-| **Franka Combined** | — | 48.6% | — | — |
-| **Risk Model AUC** | 0.65 | **0.777** | — | 0.777 |
-| **Sampling** | Uniform LHS | Boundary LHS | Uniform LHS | Two-Stage |
+| | Franka Uniform | Franka Boundary | UR5e | UR3e | UR10e | Combined |
+|---|---|---|---|---|---|---|
+| **Experiments** | 10,000 | 10,000 | 10,000 | 10,000 | 10,000 | **50,000+** |
+| **Success Rate** | 33.3% | 63.8% | 74.3% | — | — | — |
+| **Franka Combined** | — | 48.6% | — | — | — | — |
+| **Risk Model AUC** | 0.65 | **0.777** | — | — | — | 0.777 |
+| **Sampling** | Uniform LHS | Boundary LHS | Uniform LHS | Uniform LHS | Uniform LHS | Two-Stage |
 
 ## Key Findings
 
@@ -46,7 +48,7 @@ A structured database of robot AI failure patterns collected from **NVIDIA Isaac
 
 ## Two-Stage Adaptive Sampling
 
-**Stage 1 — Uniform Exploration (20,000)**
+**Stage 1 — Uniform Exploration (40,000)**
 - Franka Panda 10K + UR5e 10K
 - Latin Hypercube Sampling for uniform parameter space coverage
 - Identified boundary regions and initial risk model (AUC 0.65)