Dual-arm task planning on Agricultural Greenhouse Scene
100TFRVOYAGER
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VOYAGERFoundation Model=GPT-4o2025.06 | 100 | 0 | 0 | 0 | |
| VOYAGERFoundation model=DeepSeek V32025.06 | 100 | 0 | 0 | 0 | |
| Embodied TaPAFoundation model=DeepSeek V32025.06 | 55.3 | 0.906 | 0 | 9.1 | |
| LLM-PlannerFoundation model=DeepSeek V32025.06 | 43.1 | 0.951 | 0 | 9.4 | |
| LLM3Foundation Model=GPT-4o2025.06 | 40 | 0.785 | 0 | 2.6 | |
| ChatGPT-PromptsFoundation model=DeepSeek V32025.06 | 19.4 | — | 0 | 0 | |
| LLM3Foundation model=DeepSeek V32025.06 | 17.9 | 1.171 | 0 | 19 | |
| RoCoFoundation model=DeepSeek V32025.06 | 15.9 | 0.933 | 0 | 10.1 | |
| LLM-PlannerFoundation Model=GPT-4o2025.06 | 15.2 | 0.875 | 0 | 2.7 | |
| RoCoFoundation Model=GPT-4o2025.06 | 14.2 | 0.89 | 0 | 5.8 | |
| ChatGPT-PromptsFoundation Model=GPT-4o2025.06 | 11.2 | 0.934 | 0 | 3.2 | |
| Embodied TaPAFoundation Model=GPT-4o2025.06 | 7.3 | 0.923 | 0 | 2.9 | |
| FLTRNNFoundation model=DeepSeek V32025.06 | 5.7 | 0.921 | 0 | 0 | |
| FLTRNNFoundation Model=GPT-4o2025.06 | 0.9 | 0.934 | 0 | 3.2 | |
| RoboPARAFoundation model=DeepSeek V32025.06 | 0.5 | 1.251 | 0 | 31.9 | |
| RoboPARAFoundation Model=GPT-4o2025.06 | 0.1 | 1.217 | 0 | 36.5 |