Dexterous manipulation, especially dexterous grasping, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …

Transparent object perception is a rapidly developing research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …

In human–robot interaction, transparency is essential to ensure that humans understand and
trust robots. Understanding is vital from an ethical perspective and benefits interaction, eg …

The grasping of transparent objects is challenging but of significance to robots. In this article,
a visual–tactile fusion framework for transparent object grasping in complex backgrounds is …

Transparent objects present multiple distinct challenges to visual perception systems. First,
their lack of distinguishing visual features makes transparent objects harder to detect and …

Transparent objects are prevalent across many environments of interest for dexterous
robotic manipulation. Such transparent material leads to considerable uncertainty for robot …

Reconstructing transparent objects using affordable RGB-D cameras is a persistent
challenge in robotic perception due to inconsistent appearances across views in the RGB …

Translucency is prevalent in everyday scenes. As such, perception of transparent objects is
essential for robots to perform manipulation. Compared with texture-rich or texture-less …

Recent advances in computational perception have significantly improved the ability of
autonomous robots to perform state estimation with low entropy. Such advances motivate a …

Transparent objects present multiple distinct challenges to visual perception systems. First,
their lack of distinguishing visual features makes transparent objects harder to detect and …