43 citations · 81 across the 10 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 2 cited
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping
Yunzhi Lin, Chao Tang, Fu-Jen Chu +1
A segmentation-based architecture is proposed to decompose objects into multiple primitive shapes from monocular depth input for robotic manipulation. The backbone deep network is…
cs.RO2019★ 1 cited
Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks
Fu-Jen Chu, Ruinian Xu, Chao Tang +1
Affordance information about a scene provides important clues as to what actions may be executed in pursuit of meeting a specified goal state. Thus, integrating affordance-based re…