Robotics
Task 38 / 47
PIDTuning
Tune cascaded PID gains for a 2D quadrotor across multiple flight scenarios to reduce tracking error and overshoot under actuator saturation. Continuous gain vectors are scored by integrated error and stability-style constraints—low-level aerial vehicle controls engineering.
Model leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | Claude Opus 4.6 | 100.0 |
| 2 | Grok 4.20 | 77.6 |
| 3 | Gemini 3.1 Pro Preview | 47.1 |
| 4 | GLM-5 | 44.3 |
| 5 | SEED 2.0 Pro | 43.8 |
| 6 | GPT-5.4 | 42.5 |
| 7 | DeepSeek V3.2 | 41.9 |
| 8 | Qwen3 Coder Next | 0.0 |
Framework leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | Claude Opus 4.6 + ShinkaiEvolve | 100.0 |
| 2 | GPT-OSS + ShinkaiEvolve | 98.4 |
| 3 | Claude Opus 4.6 + OpenEvolve | 96.2 |
| 4 | Claude Opus 4.6 + ABMCTS | 95.7 |
| 5 | GPT-OSS + ABMCTS | 0.5 |
| 6 | GPT-OSS + OpenEvolve | 0.0 |
Score is the normalized score for this task (0–100, higher is better).