Evaluating Gaussian Grasp Maps for Generative Grasping Models

no code implementations • 1 Jun 2022 • William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik Beierholm

We propose a continuous Gaussian representation of annotated grasps to generate ground truth training data which achieves a higher success rate on a simulated robotic grasping benchmark.

Object Robotic Grasping +1

Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss

no code implementations • 5 Nov 2020 • William Prew, Toby Breckon, Magnus Bordewich, Ulrik Beierholm

In this paper, we introduce two methods of improving real-time object grasping performance from monocular colour images in an end-to-end CNN architecture.

Multi-Task Learning Robotic Grasping