OLIVE decomposes exoskeleton policy adaptations into low-rank residuals updated via sensor-driven policy gradients with gating and dynamic rank scheduling, reporting gait improvements on a wearable platform.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
OLIVE: Online Low-Rank Incremental Learning for Efficient Adaptive Exoskeletons
OLIVE decomposes exoskeleton policy adaptations into low-rank residuals updated via sensor-driven policy gradients with gating and dynamic rank scheduling, reporting gait improvements on a wearable platform.