Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for
Object Grasping

Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping

12 September 2019

Patricio A. Vela

Papers citing "Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping"

6 / 6 papers shown

Title
Steppability-informed Quadrupedal Contact Planning through Deep Visual Search Heuristics M. Asselmeier Ye Zhao Patricio A. Vela 47 0 0 03 Jan 2025
FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models Chao Tang Dehao Huang Wenlong Dong Ruinian Xu Hong Zhang 36 9 0 16 Apr 2024
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping Jiaqi Jiang G. Cao Aaron Butterworth Thanh-Toan Do Shan Luo 20 27 0 20 Aug 2022
GKNet: grasp keypoint network for grasp candidates detection Ruinian Xu Fu-Jen Chu Patricio A. Vela 3DPC 24 37 0 16 Jun 2021
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks Venkat Margapuri Michael L. Neilsen 8 7 0 29 Mar 2021
Multi-View Fusion for Multi-Level Robotic Scene Understanding Yunzhi Lin Jonathan Tremblay Stephen Tyree Patricio A. Vela Stan Birchfield 3DPC 22 26 0 25 Mar 2021