Industrial robots and associated control methods are continuously developing. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

In the last few decades, soft robotics technologies have challenged conventional
approaches by introducing new, compliant bodies to the world of rigid robots. These …

In order to complete many complex operations and attain more general-purpose utility,
robotic grasp is a necessary skill to master. As the most common essential action of robots in …

通过梳理, 总结前人的研究, 首先对深度学习和强化学习的基本理论和算法进行介绍,
进而对深度强化学习的流行算法和在机器人操作领域的应用现状进行综述. 最后 …

Unmanned aerial vehicles (UAVs) have attracted massive attention in many engineering
and practical applications in the last years for their characteristics and operation flexibility …

Robot visual control aims to achieve three general objectives, namely, smoothness, rapidity,
and target keeping. In practice, such conflicting objectives make robot visual control, which …

Abstract The Vision Guided Robotic systems (VGR) is an essential aspect of modern
intelligent robotics. The VGR is rapidly transforming manufacturing processes by enabling …

Deep reinforcement learning (DRL) has demonstrated impressive performance in medical
image segmentation, particularly for low-contrast and small medical objects. However …

The positional information of objects is crucial to enable robots to perform grasping and
pushing manipulations in clutter. To effectively perform grasping and pushing manipulations …