881 citations · 888 across the 3 of their papers we have counts for
3 papers · 1 filter
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury, Morris Gu, Lachlan Chumbley +9
Grasping is the process of picking up an object by applying forces and torques at a set of contacts. Recent advances in deep-learning methods have allowed rapid progress in robotic…
Grasp success prediction with quality metrics
Carlos Rubert, Daniel Kappler, Jeannette Bohg +1
Current robotic manipulation requires reliable methods to predict whether a certain grasp on an object will be successful or not prior to its execution. Different methods and metri…
Data-Driven Grasp Synthesis - A Survey
Jeannette Bohg, Antonio Morales, Tamim Asfour +1
We review the work on data-driven grasp synthesis and the methodologies for sampling and ranking candidate grasps. We divide the approaches into three groups based on whether they…