1 citations · 1 across the 4 of their papers we have counts for
4 papers
KILVO: Kinematic-Inertial-LiDAR-Visual Odometry with Robust Multimodal Adaptation for Humanoid Robots
Jixin Gao, Fucheng Liu, Teng Zhang +1
This article presents a kinematic-inertial-LiDAR-visual odometry for humanoid robots, called KILVO. Tailored to the platform features, requirements, and real-world complexity, it f…
Rethinking Transparent Object Grasping: Depth Completion with Monocular Depth Estimation and Instance Mask
Yaofeng Cheng, Xinkai Gao, Sen Zhang +4
Due to the optical properties, transparent objects often lead depth cameras to generate incomplete or invalid depth data, which in turn reduces the accuracy and reliability of robo…
PCF-Grasp: Converting Point Completion to Geometry Feature to Enhance 6-DoF Grasp
Yaofeng Cheng, Fusheng Zha, Wei Guo +4
The 6-Degree of Freedom (DoF) grasp method based on point clouds has shown significant potential in enabling robots to grasp target objects. However, most existing methods are base…
Learning effective pruning at initialization from iterative pruning
Shengkai Liu, Yaofeng Cheng, Fusheng Zha +4
Pruning at initialization (PaI) reduces training costs by removing weights before training, which becomes increasingly crucial with the growing network size. However, current PaI m…