Develops an online-learned proprioceptive velocity model supervised by exteroceptive pipelines, fused via InEKF with IMU for resilient quadruped odometry that adapts without explicit calibration.
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
-
Online Learning of Robust Legged Odometry with Minimal Exteroceptive Supervision
Develops an online-learned proprioceptive velocity model supervised by exteroceptive pipelines, fused via InEKF with IMU for resilient quadruped odometry that adapts without explicit calibration.