C2FARM-BC (Evaluated in PerAct)

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots2 results

Robot ManipulationonRLBench
Input Image Size· 2021-06-23
128
best: 256 (EquAct)
SOTA
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation arXiv:2106.12534
Robot ManipulationonRLBench
Succ. Rate (18 tasks, 100 demo/task)· 2021-06-23
20.1
best: 89.4 (EquAct)
SOTA
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation arXiv:2106.12534