Multi-robot navigation on Multi-robot simulation Obstacle Density 0% (test)
100Success RateMPC–CLF–CBF
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MPC–CLF–CBFNumber of robots=42025.10 | 100 | 100 | 31.5 | |
| CLF–CBFNumber of robots=42025.10 | 100 | 100 | 33.4 | |
| MPC–CBFNumber of robots=42025.10 | 100 | 100 | 30.6 | |
| MPC–CLF–CBFNumber of robots=102025.10 | 98 | 100 | 41.9 | |
| CLF–CBFNumber of robots=102025.10 | 98 | 100 | 41.9 | |
| MPC–CBFNumber of robots=102025.10 | 97 | 100 | 41.8 | |
| MPC–CLF–CBFNumber of robots=62025.10 | 96.7 | 100 | 39.3 | |
| CLF–CBFNumber of robots=62025.10 | 96.7 | 100 | 42 | |
| MPC–CBFNumber of robots=62025.10 | 96.7 | 100 | 39.8 | |
| MPC–CLF–CBFNumber of robots=82025.10 | 96.2 | 100 | 40.2 | |
| CLF–CBFNumber of robots=82025.10 | 96.2 | 100 | 43.7 | |
| MPC–CBFNumber of robots=82025.10 | 96.2 | 100 | 40.2 | |
| MPC–CLF–CBFNumber of robots=122025.10 | 88.3 | 100 | 56.4 | |
| MPC–CBFNumber of robots=122025.10 | 88.3 | 96.5 | 55.8 | |
| CLF–CBFNumber of robots=122025.10 | 84.2 | 100 | 58.4 |