4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2022
GP-net: Flexible Viewpoint Grasp Proposal
Anna Konrad, John McDonald, Rudi Villing
We present the Grasp Proposal Network (GP-net), a Convolutional Neural Network model which can generate 6-DoF grasps from flexible viewpoints, e.g. as experienced by mobile manipul…
cs.RO2022★ 4 cited
VGQ-CNN: Moving Beyond Fixed Cameras and Top-Grasps for Grasp Quality Prediction
A. Konrad, J. McDonald, R. Villing
We present the Versatile Grasp Quality Convolutional Neural Network (VGQ-CNN), a grasp quality prediction network for 6-DOF grasps. VGQ-CNN can be used when evaluating grasps for o…
cs.CV2021
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
Anna Konrad, Ciarán Eising, Ganesh Sistu +3
Keypoint detection and description is a commonly used building block in computer vision systems particularly for robotics and autonomous driving. However, the majority of technique…