3 accepted papers
Effective fusion of RGB and depth images for robotic grasp detection in complex environments remains a critical challenge. Most existing approaches rely on coarse-grained fusion strategies, such as channel concatenation or simple weighting, which are insufficient to fully capture the complementary n
Grasp detection considering the affiliations between grasps and their owner in object overlapping scenes is a necessary and challenging task for the practical use of the robotic grasping approach. In this paper, a robotic grasp detection algorithm named ROI-GD is proposed to provide a feasible solut…
In this paper, we present a real-time approach to predict multiple grasping poses for a parallel-plate robotic gripper using RGB images. A model with oriented anchor box mechanism is proposed and a new matching strategy is used during the training process. An end-to-end fully convolutional neural ne…