This paper presents a comprehensive survey of data-driven robotic visual grasping
detection (DRVGD) for unknown objects. We review both object-oriented and scene …

As an essential perceptual device, the tactile sensor can efficiently improve robot
intelligence by providing contact force perception to develop algorithms based on contact …

Object grasping is the basic function for robots to complete various tasks. However, it is still a
hot and difficult problem to grasp object in multi-object stacking environment. A digital twin …

This work presents a perception system applied to robotic manipulation, that is able to assist
in navigation, household waste classification and collection in outdoor environments. This …

Robotic systems are usually controlled to repetitively perform specific actions for
manufacturing tasks. The traditional control methods are domain-dependent and model …

This work proposes a novel grasp detection method, the Efficient Grasp Aware Network
(EGA-Net), for robotic visual grasp detection. Our method obtains semantic information for …

[ES] Este artículo presenta un sistema de percepcion orientado a la manipulación robótica,
capaz de asistir en tareas de navegación, clasificacion y recogida de residuos domésticos …

In recent years, deep learning-based robotic grasping methods have surpassed analytical
methods in grasping performance. Despite the results obtained, most of these methods use …

A novel grasp optimization algorithm for minimizing the net energy utilized by a five-fingered
humanoid robotic hand with twenty degrees of freedom for securing a precise grasp is …

针对机器人抓取问题进行了综合性教学实验设计, 提出了基于物体点云信息的机器人跟踪抓取
方法. 通过阈值处理保留运动模糊光条中亮度较高的部分, 改善了运动模糊情况下光条区域提取 …