We propose GRASP with evolutionary path-relinking, a metaheuristic resulting from the hybridization of GRASP, path-relinking, and evolutionary path-relinking. This metaheuristic is applied to a network migration problem. Experiments show that a GRASP with evolutionary path-relinking heuristic finds solutions faster than a heuristic based on GRASP with path-relinking as well as one based on pure...

Accurately detecting suitable grasp areas for unknown objects through visual information remains a challenging task. Drawing inspiration from the success of Vision Transformer in vision detection, hybrid Transformer-CNN architecture robotic known as HTC-Grasp, is developed to improve accuracy grasping objects. The employs an external attention-based hierarchical encoder effectively capture glob...

Robot grasping is often formulated as a learning problem. With the increasing speed and quality of physics simulations, generating large-scale data sets that feed algorithms becoming more popular. An overlooked question how to generate grasps make up these sets. In this paper, we review, classify, compare different grasp sampling strategies. Our evaluation based on fine-grained discretization S...