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 …

As robots are increasingly participating in our daily lives, the quests to mimic human abilities
have driven the advancements of robotic multimodal senses. However, current perceptual …

Robots have been part of automation systems for a very long time, and in public perception,
they are often synonymous with automation and industrial revolution perse. Fueled by …

This letter presents a novel robotic manipulation technique suitable for shallow-depth
insertion, which refers to the assembly of a relatively thin peg-like object into a hole with a …

Increasing the number of degrees of freedom for multi-finger robotic hands is necessary to
achieve high performance. However, this increases structural complexity and the obtained …

This article presents an adaptive finger mechanism for grasping objects in an environmental
constraint. The proposed finger is designed such that it can be easily installed to a parallel …

With the development of robotic vision technology, applications of visual guided robotic
grasping and assembly become more and more widespread in aerospace industry. Self …

Grasping in unstructured environments requires highly adaptable and versatile hands
together with strategies to exploit their features to get robust grasps. This letter presents a …

Bionic inspiration from human thumb and index finger was the drive to design a high-
performance two-finger dexterous hand. The size of each phalanx and the motion range of …