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JuYoung Yoon

1 accepted papers

2025

Adaptive Invariant Extended Kalman Filter for Legged Robot State Estimation

IROS 2025

State estimation is crucial for legged robots as it directly affects control performance and locomotion stability. In this paper, we propose an Adaptive Invariant Extended Kalman Filter to improve proprioceptive state estimation for legged robots. The proposed method adaptively adjusts the noise lev

Cited by 2SourceScholar