Rover
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Planning | Rover(r, w, s, o) domain (test) | Planning Time0.01 | 104 | |
| High-dimensional Bayesian Optimization | Rover D=100 | Objective Value4.353 | 17 | |
| Knowledge-Gap Localization | Rover | Localization Recall (LocRec)100 | 8 | |
| Black-box Optimization | Rover | Objective Value4.238 | 8 | |
| High-dimensional optimization | Rover 60D | Objective Value-0.33 | 6 | |
| Robotic control optimization | Rover | Generations31,633,216 | 5 | |
| 3-way material recognition | Rover lateral | Accuracy48 | 3 | |
| 3-way material recognition | Rover depth | Accuracy51 | 3 | |
| 3-way shape recognition | Rover lateral | Accuracy65 | 3 | |
| 11-way object recognition | Rover depth | Accuracy13 | 3 | |
| 11-way object recognition | Rover lateral | Accuracy23 | 3 | |
| Trajectory Optimization | rover | Overall Solve Time (s)3.86 | 3 | |
| Bayesian Optimization | Rover D = 100 | Objective Value4.353 | 3 | |
| Physical Parameter Estimation | Rover | X-Arm Length (m)0.196 | 1 | |
| Stochastic Lipschitz Optimization | Rover-60 | Metric- | 0 |
Showing 15 of 15 rows