Yunxuan Mao
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View article: Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter Open
We study the task of language-conditioned pick and place in clutter, where a robot should grasp a target object in open clutter and move it to a specified place. Some approaches learn end-to-end policies with features from vision foundatio…
View article: $ν$-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction
$ν$-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction Open
The joint optimization of the sensor trajectory and 3D map is a crucial characteristic of bundle adjustment (BA), essential for autonomous driving. This paper presents $ν$-DBA, a novel framework implementing geometric dense bundle adjustme…
View article: NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System
NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System Open
Neural implicit representations have emerged as a promising solution for providing dense geometry in Simultaneous Localization and Mapping (SLAM). However, existing methods in this direction fall short in terms of global consistency and lo…