1 citations · 1 across the 4 of their papers we have counts for
4 papers
Fetch My Beer: Synthetic-to-real Hierarchical Policy for Smooth Pick-and-place
Yingyue Li, Chenyangguang Zhang, Ruida Zhang +3
Many real-world robotic applications require dynamically sensitive manipulation, where success depends not only on reaching a target state but on maintaining stable object dynamics…
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation
Yan Di, Chenyangguang Zhang, Chaowei Wang +6
In this paper, we present ShapeMatcher, a unified self-supervised learning framework for joint shape canonicalization, segmentation, retrieval and deformation. Given a partially-ob…
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
Chenyangguang Zhang, Guanlong Jiao, Yan Di +7
Previous works concerning single-view hand-held object reconstruction typically rely on supervision from 3D ground-truth models, which are hard to collect in real world. In contras…
6D Robotic Assembly Based on RGB-only Object Pose Estimation
Bowen Fu, Sek Kun Leong, Xiaocong Lian +1
Vision-based robotic assembly is a crucial yet challenging task as the interaction with multiple objects requires high levels of precision. In this paper, we propose an integrated…