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20222026
most citedT-ESKF: Transformed Error-State Kalman Filter for Consistent Visual-Inertial Navigation

12 citations · 12 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains

Haoxuan Han, Chen Chen, Linao Gong +6

Humanoid robots have achieved strong locomotion capabilities, but reliable navigation on versatile terrains remains challenging because obstacle avoidance must be coordinated with…

cs.RO2026

T-GMP: Terrain-conditioned Generative Motion Priors for Versatile and Natural Humanoid Locomotion

Junhong Guo, Hao Hu, Chen Chen +6

Achieving both anthropomorphic naturalness and rich motion diversity during terrain traversal remains a fundamental challenge in humanoid locomotion. Existing reinforcement learnin…

cs.RO2026

Equivariant Filter Transformations for Consistent and Efficient Visual--Inertial Navigation

Chungeng Tian, Fenghua He, Ning Hao

This paper presents an equivariant filter (EqF) transformation approach for visual--inertial navigation. By establishing analytical links between EqFs with different symmetries, th…

cs.RO2025

Unobservable Subspace Evolution and Alignment for Consistent Visual-Inertial Navigation

Chungeng Tian, Fenghua He, Ning Hao

The inconsistency issue in the Visual-Inertial Navigation System (VINS) is a long-standing and fundamental challenge. While existing studies primarily attribute the inconsistency t…

cs.RO2025★ 12 cited

T-ESKF: Transformed Error-State Kalman Filter for Consistent Visual-Inertial Navigation

Chungeng Tian, Ning Hao, Fenghua He

This paper presents a novel approach to address the inconsistency problem caused by observability mismatch in visual-inertial navigation systems (VINS). The key idea involves apply…

cs.RO2025

A Transformation-based Consistent Estimation Framework: Analysis, Design and Applications

Ning Hao, Chungeng Tian, Fenghua He

In this paper, we investigate the inconsistency problem arising from observability mismatch that frequently occurs in nonlinear systems such as multi-robot cooperative localization…