Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

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 …

Interaction between a robot and its environment requires perception about the environment,
which helps the robot in making a clear decision about the object type and its location. After …

Designing a robot system with reasoning and learning ability has gradually become a
research focus in robotics research field. Recently, Skill Transfer Learning (STL), ie, the …

Worldwide, at the time this article was written, there are over 127 million cases of patients
with a confirmed link to COVID-19 and about 2.78 million deaths reported. With limited …

Dynamic movement primitives (DMPs) have been widely applied in robot motion planning
and control. However, in some special cases, original discrete DMP fails to generalize …

作为机器人技能学习中的一个重要分支, 模仿学习近年来在机器人系统中得到了广泛的应用.
模仿学习能够将人类的技能以一种相对直接的方式迁移到机器人系统中, 其思路是先从少量示教 …

This article discusses cooperative control of a mobile dual flexible manipulator system with
asymmetric time-varying output constraints and actuator failures. The shift function and a …

With large work space and dexterous manipulation capability, mobile robots with dual arms
can be used in complex operation scenes such as active detection, disassembly, spraying …