12 citations · 12 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
CLIDD: Cross-Layer Independent Deformable Description for Efficient and Discriminative Local Feature Representation
Haodi Yao, Fenghua He, Ning Hao +1
Robust local feature representations are essential for spatial intelligence tasks such as robot navigation and augmented reality. Establishing reliable correspondences requires des…