2 citations · 3 across the 5 of their papers we have counts for
5 papers
HGACNet: Hierarchical Graph Attention Network for Cross-Modal Point Cloud Completion
Yadan Zeng, Jiadong Zhou, Xiaohan Li +1
Point cloud completion is essential for robotic perception, object reconstruction and supporting downstream tasks like grasp planning, obstacle avoidance, and manipulation. However…
Histogram Transporter: Learning Rotation-Equivariant Orientation Histograms for High-Precision Robotic Kitting
Jiadong Zhou, Yadan Zeng, Huixu Dong +1
Robotic kitting is a critical task in industrial automation that requires the precise arrangement of objects into kits to support downstream production processes. However, when han…
Few-shot Human Motion Recognition through Multi-Aspect mmWave FMCW Radar Data
Hao Fan, Lingfeng Chen, Chengbai Xu +3
Radar human motion recognition methods based on deep learning models has been a heated spot of remote sensing in recent years, yet the existing methods are mostly radial-oriented.…
Discretizing SO(2)-Equivariant Features for Robotic Kitting
Jiadong Zhou, Yadan Zeng, Huixu Dong +1
Robotic kitting has attracted considerable attention in logistics and industrial settings. However, existing kitting methods encounter challenges such as low precision and poor eff…
Real-time Human-Robot Collaborative Manipulations of Cylindrical and Cubic Objects via Geometric Primitives and Depth Information
Huixu Dong, Jiadong Zhou, Haoyong Yu
Many objects commonly found in household and industrial environments are represented by cylindrical and cubic shapes. Thus, it is available for robots to manipulate them through th…