RL-only fine-tuning with dense geometric rewards aligns OpenVLA-OFT to a novel cable-driven robot, reaching 53.5% average success on four directional commands without any demonstration data.
OpenVLA-OFT project page,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
RL Bootstrapping of OpenVLA-OFT for a Novel Robot Embodiment
RL-only fine-tuning with dense geometric rewards aligns OpenVLA-OFT to a novel cable-driven robot, reaching 53.5% average success on four directional commands without any demonstration data.